"Mock Service Worker" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Ontology platform for field service: AI agents observe, connect and act on business objects.
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.
Connect AI tools to Weav customer service. Triage conversations, reply, and manage your Help Center.
Studocu helps students find study documents, set course context, ground answers from the open web, and manage authenticated study projects—attaching sources, reading artifacts, creating quizzes or mock exams, and keeping durable study memory—from any MCP client.
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
Free decision methods, work-kit previews and optional feedback. Hosted research is not available.
Routes home emergencies to the right trade: who to call in what order, first steps, sourced costs.
Bi-temporal memory-as-a-service and paid agent labor. Pay-per-call USDC via x402; signed receipts.
Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
- graphrag-ts-pgOAuth via extensioncloud.ashesborn.graphrag-ts
`graphrag-ts` is a TypeScript GraphRAG engine and a self-hosted Streamable HTTP MCP service for Markdown corpora. This Hermes entry connects to a service that the user runs on the same machine; it does not install or host the GraphRAG server.
EBI OLS4 MCP — Ontology Lookup Service.
Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Wikidata SPARQL MCP — Wikidata Query Service
Snapshot and restore service for agent state and DID-bound configuration
A notebook that AI coding agents write to
Company memory for your team and its AI agents. Hosted service, account required.
