"A tool for finding relevant academic publications and open-source projects on GitHub" matching MCP servers:

Enables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.

Project management CLI + MCP server for AI agents. Register projects once, open them anywhere, sync to S3, auto-init git, and wire into the hasna ecosystem.

github-projects-mcp

Enables AI agents to read GitHub Projects v2 boards over stdio, letting them list projects and their items across repositories so cross-repository work can be coordinated without scanning every repository. The read-only MVP authenticates via a GitHub App installation token minted at runtime and exposes list_projects, get_project, and list_project_items tools with cursor-based pagination.

Enables AI assistants to manage GitHub Projects V2, including items, fields, and views through a standardized interface.

Enables AI clients such as ChatGPT and Claude to safely read, analyze, update, verify, and audit GitHub Projects v2 through OAuth-secured MCP connections with role-based access control, guarded writes, bulk preview/approval/apply, checkpoints/deltas, and durable audit trails.

Enables users to interact with GitHub's Projects v2 API through natural language for Agile project management, supporting repository details, issue tracking, and project board management operations.

Enables managing GitHub Project views, priorities, dependencies, and metrics through natural language.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI assistants to programmatically manage GitHub Project V2 boards with 100+ tools for issues, fields, workflows, and automation via MCP.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

Enables AI assistants to interact with Zoho Projects for managing projects, tasks, issues, milestones, users, and performing searches. Supports comprehensive project management operations through natural language with automatic OAuth token handling.

An enhanced MCP server for Zoho Projects API integration, enabling AI assistants to manage projects, tasks, issues, milestones, comments, attachments, and more with automatic OAuth token refresh.

Enables AI agents to programmatically manage projects, work items, modules, cycles, labels, views, and other Plane workspace data on 8seneca's Plane deployment.

Enables AI clients and workflow tools to search, read, create, and update Odoo projects and tasks, and to manage website page content including publishing and unpublishing, through named tools with explicit field allowlists. Access is role-controlled via bearer tokens and per-user Odoo instance scoping, with Odoo's own permissions and record rules enforced as a second layer.

Enables authenticated team members to manage Odoo projects, tasks, timesheets, and milestones through Claude, with per-user token-based authentication.

An MCP server that gives AI assistants direct access to Atlassian Goals and Atlassian Projects via the Townsquare / Atlas GraphQL API.

Enables construction teams to create local projects, record sourced field evidence, run deterministic quantity calculations, and draft daily logs, estimates, and change orders with visible assumptions and human approval gates. Keeps all data local and portable with no external side effects.

Enables management of GitHub issues, milestones, projects, and labels for a single repository via MCP tools.

Enables an agent client to build a single-day shop handover plan and check whether entered tasks have coverage, surfacing exact time overlaps and other blockers that prevent a workable handover. Supports version-checked assignment, simulated helper acceptance, cancellation, time correction, and scope confirmation, reopening affected duties when a helper drops out while leaving the rest intact.

Enables MCP clients to send natural-language requests to deployed Zoho Zia agents, currently the Senior Projects Manager agent, which can read and write Zoho Projects, Mail, CRM, and WorkDrive data through its trigger API.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

An MCP server that reads public GitHub Projects v2 boards (including item-level data like status and custom fields) without authentication, using official APIs and fallback methods for user-owned projects.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

Enables answering 'what needs me right now?' across GitHub issues by determining whose turn it is and returning ready-to-read Markdown reports.

Exposes GitHub issue and pull-request triage capabilities to any MCP client: fetching repository context, classifying and prioritizing requests, finding duplicates, and applying labels, comments, assignments, closures, or reopenings. All writes are policy-gated, dry-run by default, and destructive actions require explicit two-step human confirmation.

Enables AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.