"A CRM platform for managing customer relationships" matching MCP servers:

Exposes an authenticated Streamable HTTP endpoint that lets MCP clients search and read records, create and update people, companies and pipelines, manage boards and stages, append notes, set follow-ups, inspect history and export bounded pages. Writes require the current revision and a stable operation identifier, with validation shared with the browser interface.

Enables interaction with Twenty CRM through a Model Context Protocol server. Provides comprehensive CRM operations including managing people, companies, opportunities, notes, tasks, and custom objects with support for filtering, pagination, and AI-powered automations.

Enables tracking customer-specific JIRA tickets with full CRUD operations, comments, and Markdown export, integrated with Cursor IDE via MCP.

A local-first CRM that exposes customer and project management tools via the Model Context Protocol (MCP), including an analytics server. It integrates seamlessly with Claude Code or a custom LlamaIndex ReAct agent.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

An MCP server for RD Station CRM that enables managing contacts, deals, tasks and notes, and generating pipeline health reports through natural language in any MCP-compatible client like Claude.

Enables multi-tenant task management through a remote MCP server with OAuth2 authentication, per-tenant data isolation, rate limiting, and a client SDK.

Enables Claude Code to read and write issues on the Testing Platform via natural language, including listing projects, filtering issues, creating and updating issues, and adding comments.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

An MCP server that provides tools for managing GitHub issue relationships, including tracking dependencies, blockers, and sub-issues.

A standalone MCP server that provides AI tools by proxying requests to the FTC Platform's REST API, enabling tasks like fetching event applications, evaluations, and scoring criteria.

Automates enterprise Power Platform project setup and management via MCP, reducing setup time from weeks to hours through template-based provisioning, Azure DevOps orchestration, and direct API integration.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Enables AI agents to work with Copper CRM data: search contacts and companies, review pipelines, move deals between stages, and log notes, activities and tasks. It handles date, status and stage translation so agents can query and update CRM records through natural language.

Enables MCP clients to read, search, create, update, and manage records in Twenty CRM with a safe, composable 14-tool interface and guarded destructive operations.

MCP server for Recruit CRM, enabling AI assistants to search candidates, view jobs, and manage recruiting workflows.

Enables comprehensive integration with Kommo CRM through 25 tools for managing leads, contacts, companies, tasks, events, and generating detailed analytics reports. Supports advanced workflow management, pipeline operations, and real-time performance tracking.

An MCP server that enables LLMs to interact with Moxie CRM. Provides comprehensive tools for managing clients, contacts, projects, invoices, time tracking, and more.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Centralized MCP server for Kommo CRM multi-tenancy, enabling AI assistants to interact with multiple client accounts via SSE and dynamic client routing.

Enables AI assistants to search and manage construction project economic data, including unit price analyses, resource catalogs, budget trees, and price lists, with secure multi-tenant access.

Enables AI assistants to manage Folk CRM data, including contacts, companies, notes, and reminders. It supports searching for entities, logging interactions, and setting follow-up tasks through the Folk REST API.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.

Enables AI agents to retrieve Git-backed project context, handoff packages, progress, and next steps, and to append validated progress events with matching project-record commits. This supports visible agent progress, resumable work, and safe handoffs while keeping high-risk actions outside the MCP surface.

Enables agents to read Git-backed project context and append audited, idempotent progress events through scoped, short-lived credentials, supporting resumable handoffs and visible project state.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.