"Understanding Local File System Operations" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
Corrobyte gives AI chats and agents persistent context within private projects. Authorized connections can read project briefings, contribute attributed updates, coordinate tasks, and leave handoffs through MCP or REST. Owners manage project access through the portal. Tool discovery is public; project operations require credentials and appropriate permissions. Available in private beta.
Make your AI better at system maintenance. Prompts your AI to organize use cases behind each system.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
System-of-record notebook for AI coding agents: pages, datastores, tasks, skills over MCP.
Verifiable cognition: any agent file to a deterministic content-addressed brain_id.
Governed local-first memory and continuity for AI agents — signed receipts, optional hosted lane.
A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
Read-only Wikidata tools and identity evidence. Local optional Google KG; bounded public remote.
Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.
Agent-native spaced-recall system of record. Deterministic dueAt via remote MCP for Muse/any agent.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Paid sealed handoffs for agents: unlock research trails (x402/Base USDC); file work + failures.
Expert knowledge base for sales, negotiation, strategy, operations, and risk.
Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.
Read-only Arabic and English Taxi Rido product knowledge and taxi operations guides.
StremAI MCP: shared memory for AI coding agents. Connected agents can recall. OAuth + local stdio.
Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.
Memory, reflection and safety for AI agents. Hosted or local, no vector database.
Verified registry of third-party-system knowledge — the external-dependency layer for agent memory.
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
Secure durable memory and bounded context for AI agents, with hosted OAuth and local Lite support.
Search screen text, audio transcriptions, app data and memories already synced to your Screenpipe account. Offers synced-devices and search-synced-content with read-only OAuth (data-sync:read). Requires Data Sync to be available and enabled. Local-only recordings are excluded; connecting does not enable uploads. Requested results go to your connected AI provider. Submitted by the Screenpipe team.
The second brain your AI agents share. It builds itself from your work and keeps itself current.
Verified OCR with per-value coordinates, plus a workspace agents can file documents into and query.
private by default journaling, self-understanding, reflective songs, books, playlists, insights.
Team knowledge base for snippets, API calls and docs. Agents search and file items; humans review.
