"The official LinkedIn platform or related resources" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Author and validate Calaf workspace seeds against the app's real importer. No account needed.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
A fully free linter for agent skill files: lint_skill validates YAML frontmatter, structure, size budgets, and safety phrasing with a pass/fail verdict; packaging_check validates zip layout against marketplace rules; plus regex_test, json_validate, diff_texts, and cron_explain for skill authors. No license or account required.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.
Test the voice agents you run: scored transcripts, pass/fail verdicts, latency and WER metrics.
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.
Check AI work against requirements and return structured verdicts, findings, and repair steps.
