"CRM" matching MCP servers:

Enables AI assistants like Claude to read and write contacts, relationships, and interactions in a personal CRM via a graph-based API.

Enables querying of a fictional CRM knowledge graph of enterprise accounts and their contacts, with tools for listing, searching, retrieving full record details, and running read-only SPARQL queries. Clients such as Claude, ChatGPT, or Adobe Coworker can connect over remote HTTP or local stdio, optionally protected by OAuth.

AI-powered meeting intelligence MCP server. Researches attendees from Google Calendar or Outlook, generates executive briefing cards, enriches with HubSpot CRM context, and records outcomes to persistent local meeting memory.

Read-only MCP server for Kut, a local-first personal CRM that keeps your contacts as Markdown. Lets an AI assistant search people, open contact cards, see this week's follow-ups, recent conversations and pre-meeting briefings.

The CRM for AI agents: your agent records commitments, the signal it expects back, evidence and outcomes in Forbiz, so the next session or the next agent picks up where the last one left off. Starts with no account.

Provides AI agents with operational customer context, including typed revenue objects, persistent state, scoped tools, and human-in-the-loop handoffs through MCP, REST, and CLI.

Enables AI agents to self-register, authenticate, and operate a no-code ontology and knowledge-graph platform for facility management, field service, CRM, fleet management, workflow automation, and related business processes through 172 tools.

Enables AI agents to persist and retrieve memories via a personal knowledge graph, with tools for emotional intelligence, CRM, life management, social features, self-training, and autonomous insights.

Enables AI agents to operate a personal CRM by reading relationship context and writing back. Provides 80 tools for daily briefings, semantic search, person digests, suggested actions, interaction logging, and full CRUD across contacts, notes, tasks, reminders, calls, gifts, journal entries, addresses, relationships, places, debts, documents, and life events.

Enables AI agents to read and maintain a personal CRM as an Obsidian vault of plain Markdown notes, covering people, organizations, emails, meetings, tasks and topics with duplicate detection and source-backed facts. Runs entirely locally, with a SQLite index derived from the notes so lookups stay fast while the vault remains the source of truth.

Enables LLM agents to manage a local SQLite-backed social CRM through twelve intention-shaped tools: searching and inspecting contacts, merging duplicates, managing identities and relationships, recording events and commitments, and maintaining recurring dates, attributes, and derived graph review views.

An intelligent personal CRM that processes WhatsApp conversations to build a searchable knowledge base about contacts using diarization, transcription, and PII sanitization. It exposes MCP tools for semantic search, contact summaries, and reminder management within Claude Desktop.

Enables AI assistants to interact directly with HubSpot CRM data, including contacts, companies, activities, conversations, and semantic search over previously retrieved data. Built-in vector storage and caching help overcome API limitations and improve response times.

Connects Claude Desktop to the OAPT MCP server for natural-language queries across Dynamics CRM, AWS ACE, Partner Central, and more via a hosted endpoint, with per-user API key authentication.

Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.

A self-learning AI standards system that automatically detects patterns from user corrections and updates AI configuration files. Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.

The server exposes a shared context store, backed by SQLite, enabling AI agents to interact with unified data from calls, emails, and CRM records. It provides tools to retrieve account context, propose actionable items, and analyze outcome measurements.

Enables agents to query and reason over a unified graph of a person's real relationships, resolved across email, WhatsApp, calendar, and calls, with evidence-backed facts and deterministic briefs.

Provides persistent long-term memory, knowledge base, and audit trail for AI agents, with intelligent recall, salience tracking, and CJK-aware context management.

Provides semantic search and tiered loading (L0/L1/L2) to access OpenViking context DB from Claude Code, saving tokens by loading only the needed detail.

Enables remote MCP clients to list indexed projects, search and traverse a code graph, and trigger indexing over an authenticated Streamable HTTP endpoint on a private tailnet, while destructive tools are hard-refused and every call is audited.

Local-first memory engine that synthesizes entity profiles at ingestion. Enables persistent, reasoning memory for AI agents via MCP tools like add, search, and profile.

Enables coding agents to persist evidence-backed codebase understanding, reuse it while its support remains current, and receive CURRENT, STALE, or UNVERIFIABLE status so they can narrowly re-check changed scopes.

Enables AI agents to share a unified profile—skills and memory—across different agent tools via a single MCP server, so they maintain context and recall preferences everywhere.

Backs your AI coding agent's memories, skills, and settings to CockroachDB with automatic sync, hybrid semantic+keyword search, knowledge graph, smart context priming, and 16 MCP tools for cross-machine memory management.

Enables querying and searching Ben Milne's personal site content, including essays, API endpoints, and PDF books, via MCP tools.

Long-term Memory for AI. On Device. Secure. Coding tools, AI Agents. Instant Recall. Precise.