RightAIChoice — verif… vs Salesforce Metadata M… | AllMCPs
RightAIChoice — verified AI tool data vs Salesforce Metadata MCP
A side-by-side look at the RightAIChoice — verified AI tool data and Salesforce Metadata MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose RightAIChoice — verified AI tool data for developer tools work over a hosted endpoint; choose Salesforce Metadata MCP for developer tools as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose RightAIChoice — verified AI tool data when
You need dedicated capabilities in the Developer Tools domain.
You prefer a remote HTTP/SSE transport.
You want tools like check_tool_status, compare_tools, find_alternatives.
check_tool_statusUse this when the user asks whether a specific AI tool is alive, dead, shut down, still maintained, safe to adopt, or trustworthy — or asks for its current health, viability, or verification status. Returns a verified verdict (healthy / monitor / at-risk / shut down / delisted) with evidence: link-health probe results, a 5-signal viability assessment, real-user market sentiment, pricing reality, and verified-alive alternatives. Data comes from the RightAIChoice verification engine: 8,000+ AI tools with every vendor link re-probed on a rolling weekly cycle. Every answer states BOTH dates it stands on and does not merge them: when we last probed the vendor links (what the verdict is built on) and when our catalog record was last rebuilt. Not for: tools outside the AI/software space, historical company research, or legal/financial advice. "Not in the catalog" and a verdict of UNKNOWN are DIFFERENT answers: the first means we hold no entry, the second means we hold one whose signals are not measured yet. Neither is evidence the tool is dead.
compare_toolsUse this when the user asks how two specific AI tools compare, which of two tools to choose, or "X vs Y". Returns live verification status for BOTH tools side by side (alive/at-risk/shut-down verdict, the vendor-link probe date AND the separate catalog-rebuild date, pricing reality, market sentiment) plus an editorial head-to-head verdict when a reviewed comparison exists for the pair. Data comes from the RightAIChoice verification engine: 8,000+ AI tools with every vendor link re-probed on a rolling weekly cycle, and 19,000+ maintained comparison analyses. Not for: single-tool checks (use check_tool_status), comparing more than two tools, or category browsing. If either tool is reported as not in the catalog, that is not evidence it is dead.
find_alternativesUse this when the user asks what to use instead of a specific AI tool, for its alternatives or competitors, or for a replacement because the tool shut down, got acquired, raised prices, or is unreliable. Returns up to 3 verified-alive alternatives from the same category, each with a one-line description, current health verdict, the date our record of it was last rebuilt, and pricing model. If the asked-about tool shut down, says so (with the recorded reason) and returns live replacements. Alternatives come from the RightAIChoice verification engine (8,000+ AI tools, every vendor link re-probed on a rolling weekly cycle), ranked by category and identity-tag match — never filler from unrelated categories. The response states whether results are curated matches or a category roll-up. Not for: comparing two named tools (use compare_tools) or checking a single tool's status (use check_tool_status).
market_sentimentUse this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions (Reddit, Hacker News, GitHub, YouTube, Product Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. SUBJECT GATE: where we hold a scan but cannot establish that the posts are about this product rather than something else sharing its name, NO score, count or breakdown is returned and the reply says so explicitly. That reply means "we checked and disproved the subject" — it is not an absence of data and not a negative signal about the product. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.
deadpool_digestUse this when the user asks how many AI tools die, AI startup failure or shutdown rates, which AI categories decay fastest, how risky the AI tool market is, or for data behind "most AI tools fail" claims. Returns two clearly separated datasets: (1) LIVE catalog decay — 8,000+ verified AI tools with broken vendor-link rates, dead-homepage counts, pricing opacity, and the fastest/slowest-decaying categories, updated daily; (2) a FROZEN dated survival study of 2,291 top Product Hunt launches (of the 2,066 with a determinable outcome, 24.4% are dead within ~2 years). Every figure carries its as-of date. Data comes from the RightAIChoice verification engine; link-decay figures count only VENDOR-published links (site/docs/changelog/repo), never our own derived URLs. Not for: checking one specific tool (use check_tool_status) or predicting a specific tool's future (use viability_score). Decay rates describe categories and cohorts, not individual products.
viability_scoreUse this when the user asks whether a specific AI tool is safe to adopt or build on, likely to still exist next year, well-maintained, gaining or losing momentum — or asks about its long-term viability or abandonment risk. Returns a viability BAND (safe bet / moderate / at risk) with the five measured drivers behind it: what the vendor publishes, site health, traction, user sentiment, and recent activity — plus which signal is weakest and why, in plain language. Assessments come from the RightAIChoice verification engine (8,000+ AI tools, every vendor link re-probed on a rolling weekly cycle). A null driver means "not yet measured", which is different from a bad score. Bands are NOT a leaderboard: they classify risk, they do not rank tools against each other. Not for: comparing two tools (use compare_tools), liveness checks alone (use check_tool_status), or investment decisions.
pricing_realityUse this when the user asks what a specific AI tool costs, its pricing model, plans and tiers, whether it has a free tier, hidden costs, or whether the vendor even publishes prices. Returns the recorded pricing model, per-plan prices exactly as the vendor lists them, and — unique to this catalog — documented HIDDEN COSTS: annual-commitment markups, seat minimums, paywalled features, and undisclosed usage fees. Data comes from the RightAIChoice verification engine (8,000+ AI tools re-verified on a rolling weekly cycle). The response distinguishes "the vendor publishes no prices" (their choice — sales call required) from "not recorded in our catalog" (our gap), and never converts currencies. Not for: negotiating quotes, historical price tracking, or financial advice. Prices change frequently — treat the verification date as part of the answer.
whats_changedUse this when the user asks what has changed recently in AI tools — whether a specific tool has changed its pricing, links, domain or health, or what has moved across the market since a given date. Returns dated, field-level changes we actually observed: vendor pricing-page edits, recorded price changes, link health moving, domain and certificate changes, and vendors moving their site. Each carries the date we observed it and how. Reports only VENDOR-OBSERVABLE changes by default — our own editorial rewrites are excluded and the response says so, because our writing changing is not the market moving. Our change record begins on a fixed date stated in every answer; asking about an earlier period returns that date rather than an empty result. Not for: predicting future changes, or a tool's current status (use check_tool_status).
recommend_toolsUse this when the user describes what they need an AI tool to DO rather than naming one — "something to transcribe interviews", "an image generator with an API", "a writing tool for a small team". Returns a verified shortlist matched on the described need, filtered by constraints the caller sets, and — unique to this catalog — screened against a survival bar: tools failing our link-health probes or scoring badly on the 5-signal viability model can be excluded outright. Each result carries its own health verdict, the date our record of it was last rebuilt, and pricing model. Matching is keyword and fuzzy text search over 8,000+ verified tools; the response states this. Tools with no viability measurement yet are listed separately by name rather than silently dropped. Not for: questions about a tool the user already named (use check_tool_status), head-to-head choices (use compare_tools), or filtering by price amount — prices are recorded verbatim in mixed currencies and are never converted or compared numerically.
category_landscapeUse this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).
stack_overlapUse this when the user asks whether the AI tools they pay for duplicate each other — "are we paying twice", "does our stack overlap", "can we consolidate these". Give it the tools they actually pay for. Returns the pairs we classify the same way, with the shared categories and shared capability tags named for each pair so the user can judge the claim themselves. IMPORTANT: this compares how RightAIChoice classifies two products — not their features, their APIs, or what a team does with them. It is a prompt to review a pair, never evidence that either is redundant. It never recommends cancelling anything and never totals cost, because plan and seat count are unknown. Not for: feature-by-feature comparison of two named tools (use compare_tools), finding a replacement (use find_alternatives), or calculating spend.
check_mcp_serverUse this when the user asks about a specific Model Context Protocol server — whether it is listed in the official MCP registry, what endpoint it publishes, how current its listing is, or whether that endpoint responds. Returns the registry record (name, version, publish and update dates, declared remote endpoints, registry status) plus the result of one anonymous request to a registry-published endpoint. Reports observations only. It does NOT assess whether a server is safe, trustworthy, well-built or suitable — we cannot see what a server does with data, and reachability is not safety. Many listed servers require authentication and cannot be queried anonymously; that is normal and is not a fault. Absence from the registry is not evidence a server does not exist. Not for: security assessment, recommending which MCP server to install, or checking AI tools in the RightAIChoice catalog (use check_tool_status).
Salesforce Metadata MCP tools 20
sf_create_custom_objectCreates a new Salesforce Custom Object using the Metadata API. The object name must end with '__c'. Use this when a user asks to create a new object, entity, or table in Salesforce.
sf_create_custom_fieldCreates a new custom field on an existing Salesforce object. The field API name must end with '__c'. Supports all field types: Text, Number, Picklist, Lookup, etc.
sf_add_picklist_valuesAdds new picklist values to an existing Picklist or MultiselectPicklist field without removing existing values. Use when a user wants to add new options to a dropdown.
sf_create_approval_processCreates or updates a Salesforce Approval Process via the Metadata API. Define who can submit, approval steps with approvers, entry criteria, and what happens on approval or rejection.
sf_create_validation_ruleCreates or updates a Salesforce Validation Rule on any object via the Metadata API. The errorConditionFormula returns TRUE when data is INVALID. Use for data quality enforcement.
sf_create_workflow_field_updateCreates a Workflow Field Update action that can be referenced by Approval Processes, Workflow Rules, or Flows. Sets a field to a literal value, formula result, or null.
sf_create_formula_fieldCreates a formula field on any Salesforce object. Supports all return types (Text, Number, Currency, Date, DateTime, Checkbox, Percent) and the full Salesforce formula language: IF/AND/OR/NOT, BLANKVALUE, TEXT, VALUE, DATE, DATEVALUE, TODAY, NOW, date functions (MONTH/YEAR/DAY), math (FLOOR/CEILING/MOD), string functions (LEN/LEFT/RIGHT/MID/TRIM/UPPER/LOWER/CONTAINS/BEGINS), record type and picklist functions (ISPICKVAL, ISNULL, ISBLANK), cross-object field references (e.g. Account.Owner.Name), and VLOOKUP. Complex multi-line formulas are fully supported.
sf_deploy_metadataDeploys a set of metadata components directly to the org using the Metadata API SOAP deploy operation. Builds a package.xml and deployment zip in memory. Supports validate-only (checkOnly:true) for pre-deployment validation without making changes. Specify runTests to execute test classes during deployment (required for production). Polls until complete or timeout.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
RightAIChoice — verified AI tool data is categorized under Developer Tools and uses a remote HTTP/SSE transport. Salesforce Metadata MCP belongs to Developer Tools and uses a local stdio subprocess. Pick RightAIChoice — verified AI tool data for developer tools work and Salesforce Metadata MCP for developer tools.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
RightAIChoice — verified AI tool data has no declared pricing — check the project's own site. Salesforce Metadata MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add rightaichoice-verified-ai-tool-data and salesforce-metadata-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, RightAIChoice — verified AI tool data has a quality signal of 56/100 (Good) with 0 views, 0 installs and 1 GitHub stars. Salesforce Metadata MCP has 63/100 (Good) with 2 views, 0 installs and 2 GitHub stars.
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sf_check_deploy_statusChecks the status of an in-progress or recently completed metadata deployment by async job ID. Returns the status (Pending, InProgress, Succeeded, Failed, Canceled), component successes, failures, and test results. Use with the deploy ID returned from sf_deploy_metadata.
sf_retrieve_metadataRetrieves metadata components from the org and returns their actual file contents. Use this to read existing configuration before making changes, to back up metadata, or to check what is really deployed rather than what you think is deployed. Waits for the async retrieve to finish and unpacks the resulting zip, returning each file's path and source. Large files are truncated. Accepts 'components' (array), or 'metadataType'+'componentName' as a single-item shortcut, or a raw 'packageXml' document — provide exactly one form.
sf_delete_metadataPermanently deletes one or more metadata components of a given type via the Metadata API's deleteMetadata call — works for CustomObject, CustomField, Flow, GenAiFunction, GenAiPlugin, GenAiPlannerBundle, Bot, ApexClass, and most other metadata types. There was previously no way to remove anything created by this MCP server (sf_deploy_metadata only supports adding/updating components, not destructiveChanges) — diagnostic or abandoned metadata had nowhere to go. Deletes each fullName independently: check the response's deleted/errors lists rather than assuming all all-or-nothing. Some types have dependency order requirements (e.g. delete a Bot's GenAiFunction/GenAiPlugin/GenAiPlannerBundle before the Bot itself, delete CustomField before its parent CustomObject) — Salesforce will reject a delete that still has dependents, naming them in the error.
sf_query_recordsExecutes a SOQL query against the org and returns matching records. Provide the full SOQL string in the query param. Use for reading data, checking existing records before creating, or verifying changes.
Supports aggregate queries — GROUP BY with COUNT(), SUM(), AVG(), MAX(), MIN(), e.g.:
'SELECT StageName, COUNT(Id), SUM(Amount) FROM Opportunity GROUP BY StageName'
Aggregate results come back as regular records with the aggregate expressions as field keys (e.g. "expr0").
Row cap: 'limit' defaults to 200 and is a ceiling, not a hint. If the SOQL carries its own LIMIT the smaller of the two applies, so a LIMIT in the query can tighten the cap but never raise it. When rows are cut off the response sets truncated: true and reports appliedLimit and limitSource, so a capped result is never mistaken for a complete one.