"Spec-WorkFlow documentation or implementation" matching MCP connectors:

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

Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

Citation-health over a CC0 citation graph: what supports, refutes, or cites a paper. Read-only.

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.

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.

Personal AI memory server running on Android. Connect your Claude or Perplexity to memory stored on your own phone.

Give your agents trusted access to a company's living documentation. Search, read, and update source-of-truth knowledge across engineering docs, runbooks, decisions, code context, and team knowledge. `https://falconer.com/mcp

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.

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

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

Event-sourced world model for multi-LLM agents: propose, validate, and read a shared state.

Compile full-stack apps from one architecture spec, with a shared Memory Fabric.

Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.

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.

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.

Save an AI chat's working state, load it in any other model or provider. Verified, secret-safe.

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.

Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp