Tensorfeed vs MCP Gateway — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Tensorfeed vs MCP Gateway
In-depth architectural comparison of the Tensorfeed and MCP Gateway MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Tensorfeed
Aggregators · Local stdio
Quality: 46/100 (Fair) | Auth: other
MCP Gateway
Aggregators · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Tensorfeed if you need specialized Aggregators tools running via a local process. Choose MCP Gateway if your workspace requires Aggregators integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Tensorfeed when:
You need dedicated capabilities in the Aggregators domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Paid Service).
Real-time AI industry intelligence MCP server. 6 free tools (AI news, service status, model pricing, today summary, agent activity, MCP registry snapshot) and 13 paid premium tools (routing recommendations, news search, history series, cost projection, provider deep-dive, model comparison, agents directory, what's new brief, MCP registry series, webhook watches with daily/weekly digest tier). Pay-per-call in USDC on Base mainnet, no accounts. npx -y @tensorfeed/mcp-server
A meta-server for minimal Claude Code tool bloat with progressive disclosure and dynamic server provisioning. Exposes 9 stable meta-tools, auto-starts Playwright and Context7, and can dynamically provision 25+ MCP servers on-demand from a curated manifest.
Tools & Capabilities Breakdown
Tensorfeed Tools (24)
get_ai_news
Get 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_data
Discover 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_status
Get 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.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Tensorfeed is categorized under Aggregators and uses a local stdio subprocess. In contrast, MCP Gateway belongs to Aggregators using local stdio subprocess. Select Tensorfeed when you need capabilities focused on aggregators and MCP Gateway when you require tools for aggregators.
Check 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_pricing
Get 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_status
Check the configured TensorFeed token: current credit balance plus recent per-endpoint usage (last 100 calls aggregated). Free, but requires TENSORFEED_TOKEN.
route_verdict
TensorFeed'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_verdict
TensorFeed'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_verdict
TensorFeed'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_verdict
TensorFeed'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_verdict
TensorFeed'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_verdict
TensorFeed'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 tools listed on main page
MCP Gateway Tools (26)
gateway.auth_connect
Store credentials for a server and make them available to provisioning. Use this when gateway.provision reports missing authentication.
gateway.cancel
Cancel a pending tool invocation. By default, refuses to cancel healthy requests (recent heartbeat). Use force=true to cancel anyway. Use gateway.list_pending first to see request IDs and health status.
gateway.catalog_search
Search for available tools across all connected MCP servers. Returns compact capability cards without full schemas. Use filters to narrow results by server, tags, or risk level. Set include_offline=True to also discover provisionable servers not yet running. This is the primary tool discovery entry point.
gateway.config_status
Show read-only effective configuration and startup policy status with source attribution and non-secret diagnostics.
gateway.connect_server
Connect or start a known downstream MCP server by name. Resolves configured, provisioned manifest, and registered discovered servers.
gateway.describe
Get detailed information about a specific tool, including its arguments and constraints. Use this before invoking a tool to understand its requirements.
gateway.disconnect_server
Disconnect a running downstream MCP server without changing persistent config. Refuses by default when that server has pending requests; set force=true to cancel them.
gateway.get_startup_policy
Return persisted autoStart and legacy disableAutoStart entries grouped by config source.
gateway.health
Get the health status of the gateway and all connected MCP servers. Shows server status, tool counts, and last refresh time.
gateway.invoke
Invoke a tool on a downstream MCP server. Arguments are validated against the tool schema before execution. Output is automatically truncated if too large.
gateway.list_pending
List all pending tool invocations with health status. Shows elapsed time, heartbeat age, and current state for each request. Use this to monitor long-running operations before deciding to cancel.
gateway.provision
Provision (install and start) a specific MCP server from the manifest. Use this after reviewing candidates from gateway.request_capability. Returns immediately with a job_id for tracking. Poll gateway.provision_status to check progress. Use gateway.request_capability instead if you don't know the exact server name.