Firecrawl MCP Server vs Salesforce Metadata MCP
A side-by-side look at the Firecrawl MCP Server 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 Firecrawl MCP Server for search & data extraction work as a local process; choose Salesforce Metadata MCP for customer data platforms as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Firecrawl MCP Server when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
FIRECRAWL_API_KEY, HTTP_STREAMABLE_SERVER. - You want tools like
firecrawl_scrape, firecrawl_map, firecrawl_search.
Choose Salesforce Metadata MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
SF_INSTANCE_URL, SF_ACCESS_TOKEN. - You want tools like
sf_create_custom_object, sf_create_custom_field, sf_add_picklist_values.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Customer Data Platforms |
| Quality signal | 90/100 · Excellent | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | Freemium | Not declared |
| Required env vars | FIRECRAWL_API_KEYHTTP_STREAMABLE_SERVER | SF_INSTANCE_URLSF_ACCESS_TOKEN |
| Verified owner | Verified | Community listing |
| GitHub stars | 7,673 | 2 |
| Directory activity | 14 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 25 | 20 |
| Full listing | View Firecrawl MCP Server | View Salesforce Metadata MCP |
Tools & capabilities
Firecrawl MCP Server tools 25
firecrawl_scrapeRetrieve and extract content from one supplied URL through Firecrawl. Use this when the request identifies a page and needs its content or defined fields. It can return markdown, HTML, links, screenshots, branding data, a targeted answer, or JSON matching a supplied schema; JSON is useful when the requested result has defined fields, while markdown preserves readable page content. This tool operates on a known page. For a set of pages use `firecrawl_crawl`, and to discover page URLs use `firecrawl_map` or `firecrawl_search`. Options include JavaScript render delay, cache age, main-content filtering, PII redaction, and lockdown cache-only retrieval. Browser actions may change the live page when interactive actions are enabled. Firecrawl may reuse recently indexed content instead of refetching the page, and the reuse window varies by domain. Set `maxAge: 0` to force a live fetch, or a smaller `maxAge` to bound how stale reused content may be. A successful response does not by itself confirm that the state it describes is still current. Returns the selected content formats and page metadata.firecrawl_mapEnumerate URLs indexed under one website through Firecrawl without fetching each page's content. Use this when the request asks for a site's URL inventory, when several relevant pages must be located, or when the desired page URL is unknown. An optional `search` term narrows the URL list, while sitemap, subdomain, query-parameter, and result-limit options control coverage. Returns matching URLs rather than page bodies. Retrieve one page with `firecrawl_scrape`; collect content across multiple pages with `firecrawl_crawl`.firecrawl_searchSearch web, news, or image sources and return ranked results. Operators include quoted phrases, `-term`, `site:host`, `inurl:term`, `intitle:term`, and `related:host`; the set is non-exhaustive. `includeDomains` and `excludeDomains` are mutually exclusive hostname filters; categories limit results to GitHub, research, PDF, or developer sources. For a programming question, add `categories: ["developer"]`. It searches an index of GitHub issues, merged pull requests, repository READMEs, and curated documentation sites, and returns the hits in `data.developer` beside the web results. `categories: ["research"]` restricts these web results to research-affiliated websites and returns page snippets. The `firecrawl_research_*` tools are a separate surface that searches paper abstracts and full text across biomedical (PubMed, bioRxiv, medRxiv) and arXiv literature. `scrapeOptions` can attach extracted page content; pages fetched this way use a fixed reuse window and ignore `maxAge`, so use `firecrawl_scrape` when a live fetch is required. Returns source-type result groups and usage metadata. Authenticated responses can include an `id` for optional search feedback.firecrawl_crawlStart a multi-page crawl at a website URL, poll it to a terminal state, and return the final status and collected data. Scope can be bounded with include/exclude paths, depth, page limit, subdomain/external-link controls, sitemap handling, delay, and scrape options. Crawl results can be large; use conservative limits when full-site coverage is unnecessary. Webhooks and interactive scrape actions are unavailable in safe mode. Returns the crawl ID, status, and page data.firecrawl_check_crawl_statusRetrieve the current status, progress, and available results for an existing crawl ID. This only reads Firecrawl job state and does not start or modify the crawl.firecrawl_extractDeprecated compatibility entry point. Use firecrawl_scrape once per known URL with formats: ["json"] and jsonOptions containing the prompt and schema. Use firecrawl_search or firecrawl_agent before Scrape when URLs are not known.firecrawl_agentStart an asynchronous web research job from a prompt, optional seed URLs, and an optional JSON schema. Use this for a requested synthesis across multiple sources when the task can wait for asynchronous completion. The agent can search, navigate, read pages, and assemble a structured result. This call returns only a job ID, not the research result. Read the job with `firecrawl_agent_status` until it reaches `completed` or `failed`; research commonly takes several minutes. If the job cannot finish within the task's available time, `firecrawl_search` and `firecrawl_scrape` can gather evidence synchronously.firecrawl_agent_statusRetrieve progress or final results for a `firecrawl_agent` job ID. A `processing` response is non-terminal and does not contain the final research result. Check again after 15–30 seconds until the status is `completed` or `failed`; complex jobs can take several minutes. If the job cannot finish within the task's available time, use `firecrawl_search` and `firecrawl_scrape` to complete the requested output. Returns job status, progress information, and result data when completed.firecrawl_interactOpen or reuse a live browser session to navigate a page, click controls, fill fields, or run browser code. Provide either `url` or `scrapeId`, and either a natural-language `prompt` or executable `code`; code can run as Bash, Python, or Node with a bounded timeout. This acts on the live site, so actions such as form submission can create persistent external side effects. Returns execution output, stdout/stderr, exit status, and session viewing URLs.firecrawl_interact_stopStop the live interact session associated with a `scrapeId` and release its resources. Returns a success confirmation.firecrawl_parseParse one supported document into markdown, HTML, links, summary, targeted answers, or JSON matching a schema. Supported inputs include common HTML, PDF, Word, RTF, OpenDocument, and spreadsheet files; PDF parsing can be bounded with `pdfOptions.maxPages`. Local MCP reads `filePath` from the server filesystem. Hosted MCP uses two calls: first provide `filePath` to receive upload instructions, upload locally, then call again with the returned `uploadRef`; do not send both fields together. Remote web URLs belong in `firecrawl_scrape`. Set `redactPII` to request redaction of personally identifiable information in the returned content. `zeroDataRetention` requires an eligible authenticated account; omit it for anonymous keyless use. Returns upload instructions for hosted phase one or parsed document content for the final call.firecrawl_monitor_createCreate a recurring scrape, crawl, or search monitor that compares each check with its retained predecessor. The simple form accepts `page`/`pages` or `queries` plus a plain-language `goal`; the advanced `body` form controls targets, schedule, change-tracking formats, judging, retention, webhook, and notifications. In the simple form, a `goal` is required. If `queries` contains one or more non-empty values and is supplied with `page`/`pages`, `queries` create the search target and page targets are ignored. A monitor schedules future network checks and can send configured email or webhook notifications. Returns the created monitor.- +13 more on the listing page
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.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.- +8 more on the listing page
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.
Firecrawl MCP Server
{
"mcpServers": {
"firecrawl-firecrawl-mcp-server": {
"command": "npx",
"args": [
"-y",
"firecrawl-mcp"
],
"env": {
"FIRECRAWL_API_KEY": "YOUR_FIRECRAWL_API_KEY_HERE",
"HTTP_STREAMABLE_SERVER": "YOUR_HTTP_STREAMABLE_SERVER_HERE"
}
}
}
}
Salesforce Metadata MCP
{
"mcpServers": {
"salesforce-metadata-mcp": {
"command": "npx",
"args": [
"-y",
"salesforce-metadata-mcp"
],
"env": {
"SF_INSTANCE_URL": "YOUR_SF_INSTANCE_URL_HERE",
"SF_ACCESS_TOKEN": "YOUR_SF_ACCESS_TOKEN_HERE"
}
}
}
}
Frequently asked questions
Firecrawl MCP Server is categorized under Search & Data Extraction and uses a local stdio subprocess. Salesforce Metadata MCP belongs to Customer Data Platforms and uses a local stdio subprocess. Pick Firecrawl MCP Server for search & data extraction work and Salesforce Metadata MCP for customer data platforms.
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.
Firecrawl MCP Server is listed as freemium — a free tier with paid plans. Auth: api key required. 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 firecrawl-firecrawl-mcp-server and salesforce-metadata-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Firecrawl MCP Server has a quality signal of 90/100 (Excellent) with 14 views, 0 installs and 7,673 GitHub stars. Salesforce Metadata MCP has 63/100 (Good) with 3 views, 0 installs and 2 GitHub stars.