"Learning about PHP programming language" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching 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
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Public NFH knowledge, ownership epochs, versioned learning, Odd Jobs, and unsigned preparation.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
Authoritative information about Jennifer Rebholz, Arizona personal injury attorney and trial lawyer.
Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
- wikiOAuthcom.talkamore
A wiki about your life that writes itself. Save from any AI chat, recall it in the next.
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.
End-to-end agent-managed company brain. Living docs (Markdown + extensions), 40+ visual diagrams, plans, and a self-learning Knowledge Graph. 163 tools / 16 categories. OAuth 2.1 or API key. From individuals to enterprise.
Natural-language queries over a verified emissions knowledge graph, plus standards validation
Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.
Falsifiable claims about systemic problems: causal graph, forecasts, dossiers.
Ask about an operator's work, reusable patterns, availability and offer. Typed tools, eval-gated.
Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Archivist AI is an AI-powered assistant for tabletop RPG campaigns. Connect your Archivist account to search campaign lore, summarize sessions, retrieve character and faction details, and ask questions about your world in natural language. Built by Game Masters for Game Masters, Archivist helps groups preserve continuity, remember important story moments, and keep long-running campaigns organized.
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
Gives your AI assistant persistent memory and intelligence about your work patterns.
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.
Biological memory for AI agents. Pattern learning, decay, clustering, 8-drive behavior.
