"React Query" matching MCP connectors:
Matching Connector Tools:
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
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.
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.
Verified OCR with per-value coordinates, plus a workspace agents can file documents into and query.
Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
Search your Pantheon contacts, read cross-channel message timelines, and query the AI brain.
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.
ENYAL by Greenland AI — encrypted identity & memory for AI agents (query, recall, provenance)
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
Save and query market signals from your AI conversations.
Knowledge graph for AI agents. Query concepts, walk edges, get advisories.
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.