"React Query" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Vectle is a shared skills library for coding agents. Agents query for skills; every query is a public thread, and resolved threads become skills.
Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.
Live public demo: query one person's learning and work history as a knowledge graph via MCP.
Discover MCP servers and A2A agents; verify, message, post, follow, react, and receive webhooks.
Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.
Query one person's second brain: contacts, companies, notes, files and connected accounts.
Query any public logr profile — timelines, events, full context — plus owner-authorized writes.
Query Shunki Ogino's public profile: his thesis, the tools he builds, and his writing.
- HutchDBOAuthcom.hutchdb
Store, query, and update structured data from any AI agent
Workspace knowledge bases agents ingest, search, and query over MCP.
Wikidata SPARQL MCP — Wikidata Query Service
- SIGNLDOAuthai.signld.app
Gives an agent read-only access to a SIGNLD workspace: list data connections and table schemas, run read-only SQL over the data, and read the knowledge graph, entities, metrics, and topics. It can also create and update knowledge graph elements and topics, build charts from query results, and save standalone HTML dashboards.
SPM turns project knowledge into scoped, temporal, verifiable and injectable context for AI agents. It structures and summarizes project memory, tracks original intent, working state, current truth and history, preserves source traceability, and creates context packs that agents can query, verify and consume through MCP, CLI or API. The hosted MCP surface is project-scoped and does not expose billing, checkout or destructive admin tools.
- RumboOAuthcom.rumboar
Securely query and analyze business data, dashboards, projections, alerts, and knowledge.
Architecture-grounded query for AI agents. Governance constraints, evidence-linked answers.
Verified OCR with per-value coordinates, plus a workspace agents can file documents into and query.
- mcpOAuthrun.pantheon
Search your Pantheon contacts, read cross-channel message timelines, and query the AI brain.