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Star and watch that repo to follow MCP server updates.\n\nThis subfolder remains in the main `tensorfeed` repo as the **publishing source** for the npm package (`@tensorfeed/mcp-server`) and the [official MCP registry](https://registry.modelcontextprotocol.io/v0/servers/ai.tensorfeed/mcp-server) entry. Edits to `src/`, `server.json`, `package.json`, etc. happen here and get pushed to the standalone repo on release.\n\n## Hosted remote endpoint (zero install, wallet-payable)\n\nYou do not need to install this package to use TensorFeed over MCP. A hosted Streamable HTTP endpoint serves a curated 33-tool subset (31 free + 2 premium), and the premium tools are payable per call with nothing but a funded USDC wallet: no account, no signup, no API key.\n\n| Surface | URL |\n| --- | --- |\n| Canonical endpoint | `https://mcp.tensorfeed.ai/mcp` |\n| Same endpoint, legacy path | `https://tensorfeed.ai/api/mcp` |\n| Strict x402 transport (for auto-pay wrappers) | `https://mcp.tensorfeed.ai/mcp?x402=strict` |\n\nConnect any MCP client with an HTTP transport:\n\n```json\n{\n  \"mcpServers\": {\n    \"tensorfeed\": { \"type\": \"http\", \"url\": \"https://mcp.tensorfeed.ai/mcp\" }\n  }\n}\n```\n\n`GET` the endpoint for machine-readable discovery info (tool count, payment surfaces, spec version). `POST` a JSON-RPC 2.0 envelope for `initialize`, `tools/list`, `tools/call`, and `ping`.\n\n### Paying premium tools per call (x402)\n\nThe two premium tools, `route_verdict` (the signed model-routing decision) and `whats_new` (the full AFTA-signed morning brief), cost 1 credit ($0.02 in USDC, Base or Solana) per call. Three payment paths, pick whichever your client supports:\n\n1. **`arguments.payment`**: call the tool unpaid, read the canonical x402 requirements from the response (`accepts` array), sign, then retry the same call with the base64 payment payload in the `payment` argument. Works in every MCP client, no header access needed.\n2. **`X-PAYMENT` header**: send the same base64 payload as an `X-PAYMENT` (or `PAYMENT-SIGNATURE`) header on the POST.\n3. **Bearer credits**: `Authorization: Bearer tf_live_...` token from [tensorfeed.ai/developers/agent-payments](https://tensorfeed.ai/developers/agent-payments).\n\nx402 client wrappers that auto-pay on HTTP 402 should point at the strict URL (`?x402=strict`): unpaid premium calls there return a real HTTP 402 with a `PAYMENT-REQUIRED` header, the wrapper signs and retries, and the settled response carries a `PAYMENT-RESPONSE` header plus the AFTA-signed receipt in the body. No USDC yet? Claim free trial credits by signing a wallet message at `https://tensorfeed.ai/api/payment/trial-credits` (no payment required).\n\n## Featured: Route Verdict\n\nThe single best model to use right now, as one signed call. `route_verdict` fuses live pricing, contamination-discounted benchmark capability, real production usage, measured p95 latency probes, live incident state, and deprecation flags into one ranked decision, with an AFTA-signed receipt over the exact inputs. Instead of stitching together pricing pages, benchmark leaderboards, status dashboards, and your own latency tests, you get a current, defensible routing answer in one request.\n\n### Zero install, no key, one command (works today)\n\n```bash\ncurl -s -A \"tensorfeed-cc-quickstart\" \"https://tensorfeed.ai/api/preview/route-verdict?task=code\"\n```\n\nSwap `task` for `reasoning`, `creative`, or `general`, or pass `?model=<id-or-name>` to score a specific model. The free preview is 10 calls per day per IP, no token. Abridged real response:\n\n```json\n{\n  \"ok\": true,\n  \"preview\": true,\n  \"query\": { \"task\": \"code\", \"model\": null },\n  \"verdict\": {\n    \"rank\": 1,\n    \"model\": { \"name\": \"Gemini 2.5 Pro\", \"provider\": \"google\" },\n    \"pricing\": { \"blended\": 5.625, \"unit\": \"per 1M tokens\" },\n    \"quality\": { \"trust_discounted\": 0.6498 },\n    \"latency\": { \"measured_p95_ms\": 1223, \"source\": \"measured_probe\" },\n    \"operational\": { \"ok\": true, \"status\": \"operational\" },\n    \"composite_score\": 0.8449,\n    \"why\": \"code quality 0.6498 after trust discount; corroborated by real usage (rank 5, 6.5% share, flat); measured p95 1223 ms; operational; blended $5.625 / 1M\"\n  },\n  \"rate_limit\": { \"limit\": 10, \"remaining\": 9, \"scope\": \"per IP per UTC day\" },\n  \"upgrade\": {\n    \"premium_endpoint\": \"/api/premium/route-verdict\",\n    \"adds\": [\"runners_up\", \"AFTA-signed receipt\", \"filter params\", \"no rate limit\"]\n  }\n}\n```\n\n### The agent path (MCP)\n\nWith `@tensorfeed/mcp-server` installed, an agent gets one `route_verdict` tool with a `tier` parameter. Call it with the default free tier for the pick, then `tier=\"full\"` when it needs to defend the choice:\n\n```text\n# Free taste: the top pick + reasoning, no token (10/IP/day). tier defaults to \"preview\".\nroute_verdict({ task: \"code\" })\n\n# 1 credit: ranked runners-up, constraint filters, AFTA-signed receipt\nroute_verdict({ task: \"code\", tier: \"full\", max_latency_p95_ms: 1500, budget: 8, min_quality: 0.6 })\n```\n\n`tier=\"full\"` adds the ranked runners-up, the constraint filters (`max_latency_p95_ms`, `budget`, `min_quality`, `require_operational`, `exclude_deprecated`), and the AFTA-signed receipt the agent can audit later. Credits come from [tensorfeed.ai/developers/agent-payments](https://tensorfeed.ai/developers/agent-payments).\n\n### Why it matters\n\nModels, prices, and latency move week to week. `route_verdict` is one signed call an agent can act on now and later prove why it routed the way it did, without rebuilding the comparison from scratch each time.\n\n## Catalog\n\n24 tools on this stdio package. The core flagships, the eight signed verdicts, the time-series tools, and the webhook watches are dedicated tools; the rest of the 100+ TensorFeed endpoints are reachable through the `find_tensorfeed_data` discovery tool and callable over HTTP. Free tiers need no token; paid tiers charge USDC on Base via x402 and return an AFTA-signed receipt. The hosted HTTP endpoint above carries a different, broader 33-tool curated subset (SEC EDGAR, openFDA, EIA, USGS, NWS, AI papers, and more). The full tool reference lives in the [standalone repo](https://github.com/RipperMercs/tensorfeed-mcp).\n\n### Verdict family\n\nEight signed decisions (route_verdict is featured above). Each is a single tool with a `tier` parameter: `tier=\"preview\"` (default) is free, `tier=\"full\"` costs 1 credit ($0.02) and adds the full ranking and an AFTA-signed receipt:\n\n- **provider_reliability_verdict**: the safest AI provider to build on, ranked by availability and tail consistency over TensorFeed's own probes.\n- **x402_settlement_verdict**: the x402 settlement momentum, concentration, and leading publisher over a 24h, 7d, or 30d window.\n- **x402_publisher_verdict**: a signed trust verdict on one publisher domain before you pay it.\n- **stack_safety_verdict**: a GO, HOLD, or BLOCK deploy gate over your package@version pins, with the worst CVE or KEV match.\n- **benchmark_trust_verdict**: a trust band and 0 to 100 score for a benchmark, flagging saturation, contamination, and held-out status.\n- **failover_verdict**: when a provider is degraded, the single best operational provider to fail over to, with ranked alternatives.\n- **ssvc_verdict**: the CISA SSVC Act, Attend, Track, or Track* decision for one CVE, with a live KEV cross-check.\n\n## Publish a new version\n\nFrom the main tensorfeed repo:\n\n```powershell\n# 1. Bump the version in mcp-server/package.json + mcp-server/server.json\n# 2. Build + npm publish from the mcp-server/ folder\ncd mcp-server\nnpm run build\nnpm publish --access public\n\n# 3. Republish to the official MCP registry. The script lives at\n#    repo-root/scripts/, not mcp-server/scripts/, so step back up first.\ncd ..\n.\\scripts\\mcp-publish.ps1\n\n# 4. Mirror to the standalone repo - automated. The\n#    .github/workflows/mirror-mcp-server.yml workflow runs on every\n#    push to main that touches mcp-server/. To trigger a manual sync,\n#    go to the Actions tab and run \"Mirror MCP server to standalone\n#    repo\" via workflow_dispatch.\n```\n\n### Automated mirror setup (one-time)\n\nThe mirror workflow needs a personal access token with `contents: write`\npermission on `RipperMercs/tensorfeed-mcp`. Set it once:\n\n1. Generate a fine-grained PAT at github.com/settings/personal-access-tokens\n   scoped to the standalone repo only, with Repository permissions\n   `Contents: Read and write` and `Metadata: Read-only`.\n2. Add it to this monorepo as a repository secret named\n   `STANDALONE_REPO_TOKEN` (Settings -> Secrets and variables -> Actions).\n3. The workflow will pick it up on the next push to main that changes\n   `mcp-server/**`, or via the manual \"Run workflow\" button.\n\n## Quick links\n\n- **User-facing repo (please star):** https://github.com/RipperMercs/tensorfeed-mcp\n- **npm package:** https://www.npmjs.com/package/@tensorfeed/mcp-server\n- **Official MCP registry:** https://registry.modelcontextprotocol.io/v0/servers/ai.tensorfeed/mcp-server\n- **TensorFeed.ai:** https://tensorfeed.ai\n- **Premium / payments:** https://tensorfeed.ai/developers/agent-payments\n- **AFTA standard:** https://tensorfeed.ai/agent-fair-trade\n","readmeFilename":"README.md"}