Rhumb vs Tensorfeed
A side-by-side look at the Rhumb and Tensorfeed MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Rhumb for aggregators work as a local process; choose Tensorfeed for aggregators as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Rhumb when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
RHUMB_API_KEY. - You want tools like
find_services, get_score, get_alternatives.
Choose Tensorfeed when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You have the keys it needs:
TENSORFEED_TOKEN. - You want tools like
get_ai_news, find_tensorfeed_data, get_ai_status.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 64/100 · Good | 44/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | other |
| Pricing | Not declared | Paid service |
| Required env vars | RHUMB_API_KEY | TENSORFEED_TOKEN |
| Verified owner | Community listing | Community listing |
| GitHub stars | 4 | 2 |
| Directory activity | 2 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 21 | 24 |
| Full listing | View Rhumb | View Tensorfeed |
Tools & capabilities
Rhumb tools 21
find_servicesSearch indexed Services by what you need them to do. Returns ranked Services with AN Scores. Use this when you know the problem but not which Service to call. For Capability-level search (e.g. 'email.send'), use discover_capabilities instead.get_scoreGet the full AN Score breakdown for a Service: execution quality, access readiness, autonomy level, tier label, and freshness. Use after find_services to evaluate a specific Service.get_alternativesFind alternative Services, ranked by AN Score. Use when a Service doesn't meet your needs or you want to compare options in the same category.get_failure_modesGet known failure patterns, impact severity, and workarounds for a service. Use BEFORE integrating to write defensive code, or AFTER hitting an error to diagnose it.discover_capabilitiesBrowse Capabilities by domain or search text. A Capability is an action (e.g. 'email.send', 'payment.charge') that multiple providers can fulfill. Use this when you know WHAT you need to do but not which Service does it. Returns Capability IDs for resolve_capability. Different from find_services: find_services searches Services, this searches Capabilities.resolve_capabilityGiven a Capability ID, and optionally a credential mode, returns ranked providers with health status, cost per call, auth methods, endpoint patterns, execute guidance, and machine-readable recovery fields like recovery_hint.resolve_url, recovery_hint.credential_modes_url, and, when applicable, recovery_hint.alternate_execute_hint or recovery_hint.setup_handoff, plus typo recovery when the capability ID is wrong. If the capability ID is wrong, returns a capability search URL plus suggested capabilities instead of a blank dead end. This is the core routing decision: 'I need email.send, and maybe a specific credential mode, which provider or recovery handoff should I use?' Call this before execute_capability to understand your options.execute_capabilityCall a Capability through Rhumb Resolve. Typical workflow: discover_capabilities → resolve_capability → estimate_capability → execute_capability. Default credential mode is auto: Rhumb uses Rhumb Resolve when an active managed config exists, otherwise falls back to byok. Legacy 'byo' is still accepted as an input alias. Other explicit modes: rhumb_managed — zero-config through Rhumb Resolve when available; byok — BYOK via agent_token + method + path; agent_vault — use a key from credential_ceremony via agent_token + method + path. Alternative: pass x_payment for a per-call USDC payment with no account needed. Use check_credentials to inspect live readiness globally or for a specific Capability before choosing a rail.estimate_capabilityEstimate the active execution rail, cost, and health before a Capability call; anonymous direct system-of-record paths also preserve machine-readable execute_readiness handoffs. Returns cost in USD, circuit health, and endpoint pattern. Default credential mode is auto: Rhumb uses Rhumb Resolve when an active managed config exists, otherwise falls back to byok. Legacy 'byo' is still accepted as an input alias. Always call this before execute_capability for cost-sensitive workflows — no charge for estimates.credential_ceremonyGet step-by-step instructions to obtain API credentials for a Service. Returns signup steps, expected token format (prefix, pattern), verification endpoint, estimated time, and whether human intervention is needed. Use before calling in agent_vault mode. Call without params to list all Services with available ceremonies.check_credentialsInspect live credential-mode readiness, globally or for a specific Capability. Call without params to see which BYOK bridges or direct bundles are already configured and which Capabilities are ready now through Rhumb-managed rails. Pass a Capability to inspect provider-level mode status, configured readiness, and ceremony availability for that specific path.budgetCheck or set your call spending limit. Budgets are enforced BEFORE a call — you get HTTP 402 (not a surprise bill) when you'd exceed your limit. Call with no params to check current budget and remaining balance.spendGet your spending breakdown for a billing period: total USD spent, call count, average cost per call, broken down by Capability and by provider. Use to audit costs or optimize routing.- +9 more on the listing page
Tensorfeed tools 24
get_ai_newsGet the latest AI news from TensorFeed.ai as a ranked list with title, source, URL, snippet, and publish time, filterable by category (e.g. "anthropic", "openai", "research", "tools"). Aggregates 15+ sources (Anthropic, OpenAI, Google, TechCrunch, The Verge, arXiv, and more) into one normalized feed, so an agent reads one schema instead of polling each outlet. Free, no auth.find_tensorfeed_dataDiscover which TensorFeed endpoint answers a data need. Describe what you want in plain language (e.g. "trending AI papers", "is OpenAI down", "model price history") and this returns the 2 to 3 best-matching TensorFeed endpoints, each with its HTTP path, what it returns, and whether it is free or paid. TensorFeed exposes 100+ AI-ecosystem data and signed-verdict endpoints; the core ones are also dedicated tools, but the full catalog is reachable here and callable over HTTP (paid ones via x402 or a credits token). Free, no auth. Use this first when no dedicated tool obviously fits.get_ai_statusGet the real-time operational status of major AI services (Claude, OpenAI, Gemini, Mistral, Cohere, Replicate, Hugging Face), including per-component breakdowns and an operational/degraded/down rollup per provider. One cross-provider status call instead of checking each vendor's status page, useful before an agent routes a request to a model that may be impaired. Free, no auth.is_service_downCheck whether one named AI service (e.g. "claude", "openai", "gemini", "mistral", "cohere", "hugging face", "replicate") is currently operational, degraded, or down, with its component-level breakdown. Matches on service or provider name and lists available services if there is no match, so an agent can gate a call on live status before sending traffic. Free, no auth.get_model_pricingGet AI model pricing across major providers (Anthropic, OpenAI, Google, Meta, Mistral, Cohere) in one normalized table: input and output price per 1M tokens, context window, and release date per model. One cross-provider comparison instead of scraping six pricing pages, so an agent can pick the cheapest model that fits its context and budget. Free, no auth.account_statusCheck the configured TensorFeed token: current credit balance plus recent per-endpoint usage (last 100 calls aggregated). Free, but requires TENSORFEED_TOKEN.route_verdictTensorFeed's signed model-routing decision: the single best model for a task or named model, fused from live pricing, contamination-discounted benchmarks, real production usage, measured p95 latency, incident state, and deprecation flags, with the reasoning. tier='preview' (default) is free (10 calls per day per IP), top verdict only. tier='full' costs 1 credit ($0.02), adds ranked runners-up, constraint filters, and an AFTA-signed receipt you can audit, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.provider_reliability_verdictTensorFeed's signed dependability ruling over its OWN measured latency and availability probes of the frontier AI providers: the single most-dependable provider to build on and the riskiest, scoring availability and tail consistency (p50 over p95) equally because an agent retry loop feels the tail, not the median. tier='preview' (default) is free (10 calls per day per IP), top verdict only. tier='full' costs 1 credit ($0.02), adds the full per-provider ranking with measured availability and p50/p95/p99 and tail spread plus an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.x402_settlement_verdictTensorFeed's signed ruling on the state of the x402 USDC settlement market on Base, computed over its OWN on-chain settlement index: market momentum versus the prior window of equal length, concentration, and the leading publisher. Covers the publishers TensorFeed indexes on Base, forward-only from launch. tier='preview' (default) is free (10 calls per day per IP), headline verdict only. tier='full' costs 1 credit ($0.02), adds the full per-publisher ranking with volume share, ecosystem totals, the Herfindahl concentration index, an optional window, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.x402_publisher_verdictTensorFeed's signed trust verdict on one x402 publisher, over its OWN on-chain settlement index: whether a named publisher domain is actively settling, recently quiet, registered with no settlement, unreachable, missing a Base payTo, or not indexed. Requires a domain. tier='preview' (default) is free (10 calls per day per IP), the trust verdict only. tier='full' costs 1 credit ($0.02), adds the 30-day settlement momentum, the shared-wallet risk flag, the settlement evidence (volume, count, last settled), and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.stack_safety_verdictTensorFeed's deploy gate for an AI software stack: pass each package as comma-separated name@version and get the overall BLOCK / HOLD / PASS / UNKNOWN gate plus a per-package verdict, fusing the ingested AI-stack CVE batch with the CISA KEV catalog. Conservative by design: BLOCK only on an exploited CVE with no fix, HOLD when a known CVE applies and you must verify your version, PASS on no match, UNKNOWN outside the curated AI-stack cohort. tier='preview' (default) is free (10 calls per day per IP), caps at 3 packages, gate plus worst offender. tier='full' costs 1 credit ($0.02), raises the cap to 10 packages, adds the matched-CVE evidence (ids, affected ranges, fixed versions, KEV status) and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.benchmark_trust_verdictTensorFeed's signed ruling on whether an AI benchmark is still a trustworthy capability signal or saturated, contaminated, or near ceiling so a high score should be down-weighted: a trust band (reliable, use_with_caution, saturated, contaminated, deprecated) and a 0-100 trust score per benchmark. Pass benchmark to narrow to one, or category to filter, or neither for the registry. tier='preview' (default) is free (10 calls per day per IP), top verdict and bands only. tier='full' costs 1 credit ($0.02), adds the per-signal detail (ceiling proximity, frontier compression, contamination), a down-weight recommendation with an alternative benchmark, and an AFTA-signed receipt, and needs a TENSORFEED_TOKEN. Get credits at tensorfeed.ai/developers/agent-payments.- +12 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.
Rhumb
{
"mcpServers": {
"supertrained-rhumb": {
"command": "npx",
"args": [
"-y",
"--package",
"rhumb-mcp@latest",
"rhumb-mcp"
],
"env": {
"RHUMB_API_KEY": "YOUR_RHUMB_API_KEY_HERE"
}
}
}
}
Tensorfeed
{
"mcpServers": {
"rippermercs-tensorfeed": {
"command": "npx",
"args": [
"-y",
"@tensorfeed/mcp-server"
],
"env": {
"TENSORFEED_TOKEN": "YOUR_TENSORFEED_TOKEN_HERE"
}
}
}
}
Frequently asked questions
Rhumb is categorized under Aggregators and uses a local stdio subprocess. Tensorfeed belongs to Aggregators and uses a local stdio subprocess. Pick Rhumb for aggregators work and Tensorfeed for aggregators.
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.
Rhumb has no declared pricing — check the project's own site. Tensorfeed is listed as a paid service. Auth: other. 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 supertrained-rhumb and rippermercs-tensorfeed as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Rhumb has a quality signal of 64/100 (Good) with 2 views, 0 installs and 4 GitHub stars. Tensorfeed has 44/100 (Fair) with 2 views, 0 installs and 2 GitHub stars.