"Programming Language Rust or Metal Oxidation" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Never let your agent repeat a bug or linger on a known issue. Search 385+ failure lessons to skip known errors instantly.
USECREA A persistent project layer for AI agents. USECREA keeps project knowledge, tasks, and progress available across different AI agents, computers, and work environments. Switch agents without copying chats, creating summary files, or starting over.
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
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
Citation-health over a CC0 citation graph: what supports, refutes, or cites a paper. Read-only.
Persistent project context — Rust-native MCP server. IANA-registered .faf format.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Biblical and theological research MCP server. Ask pastoral questions, run academic-grade queries across 2M+ scholarly passages (lexicons, commentaries, church fathers, Dead Sea Scrolls, Talmud), or search raw sources directly. Free, no API key required.
Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.
Extract, search and tag any document: invoices, receipts, contracts, templates. OAuth or API key.
- DocsieOAuth via extensionio.docsie.app
Docsie MCP brings your documentation workflow directly into your AI assistant. Create, edit, and publish documentation without switching between tools. Convert videos into structured documentation instantly, run compliance analysis across text, audio, and video content, and use semantic search to find exactly what you need across your knowledge base. Whether you're building product documentation, SOPs, user guides, or technical manuals, Docsie MCP makes documentation faster, smarter, and powered
Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.
Search everything you save: YouTube, articles, podcasts, PDFs, Notion, Obsidian. API key or OAuth.
Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.
- mcpOAuthai.butlerbrain
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.
Natural-language queries over a verified emissions knowledge graph, plus standards validation
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
- PenlogOAuthapp.penlog.mcp
Penlog is an Apple Pencil journaling app for iPad that reads each handwritten page into structured tasks, notes, and priorities. Its MCP server exposes that journal to your AI: search pages by topic, pull open tasks with reconciled status, read a full day's page, and create or update tasks that appear on your handwritten page and sync to Notion. Write by hand. Work with everything.
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server
