"Understanding Inference Models" matching MCP servers:

Enables AI models to search Jira issues using JQL and retrieve issue details through the Jira 9.12.14 API.

Provides SEO, WPO, and Asana project management tools for enhancing interactions with language models.

Enables AI models to interact with Linear for issue tracking and project management through capabilities like creating/searching issues, managing sprints, and retrieving workflow states.

Enables automated project analysis and structured development specification generation. Supports multiple export formats and integrates with AI models for comprehensive project documentation and validation.

MCP server for TickTick using the official OAuth 2.0 API. Create, list, update, complete, and delete tasks just by talking to Claude.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

Enables models to query and act across GitHub, Notion, and Linear through a single access-controlled tool surface, with per-source failure isolation so partial outages still yield useful answers.

An unofficial bridge that enables AI models to interact with the LunaTask API for managing tasks, notes, journal entries, and contacts. It supports creating and updating productivity data while respecting LunaTask's end-to-end encryption for sensitive fields.

Enables AI models to perform IT service management operations on Freshservice, including managing tickets, changes, problems, releases, assets, projects, and more through a set of MCP tools.

A Model Context Protocol server that enables large language models to interact with Linear's issue tracking system, allowing management of issues, projects, teams, and other Linear resources.

A Deno implementation that enables AI models to interact with Linear issue tracking functionality, supporting searching issues, reading details, updating, and commenting.

Enables AI models to interact with the Upsprints API for managing users, companies, projects, and tasks, including generating Software Design Documents (SDDs) from tasks via read/write tools and webhooks.

A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.

An MCP service that provides AI-powered development workflow tools including specification generation, code review, and project management with support for both OpenAI and Ollama models.

Enables Claude to interact with HacknPlan project management via the MCP protocol. Provides tools for managing projects, work items, boards, milestones, time logs, design models, and cross-project portfolio views.

A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.

Enables AI models to interact with Freshrelease project management platform through API integration. Supports creating and retrieving projects and tasks, managing status categories, and automating project operations through natural language.

MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.

An MCP server providing read-only access to Linear issues for language models, allowing them to fetch issue details and comments using a Linear API token.