"Chemistry information or resources" matching MCP servers:

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.

MCP server for accessing and managing Linear resources like issues, projects, and comments with full CRUD operations and search.

Enables AI assistants to manage tasks with tools for adding, completing, and deleting tasks, and resources for viewing all or pending tasks.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables AI assistants to retrieve Trello card information by ID or link, providing access to card details including labels, members, due dates, and attachments through a standardized interface.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables Claude and other MCP clients to interact with Plutio's business platform resources including CRM, projects, invoicing, and more through structured tools.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.

Enables AI agents to interact with Azure DevOps resources such as projects, builds, repositories, work items, test plans, and wikis through natural language using the Model Context Protocol.

Enables AI agents to manage Linear workspace resources such as issues, projects, teams, cycles, and comments via Streamable HTTP MCP, with LLM-optimized tools and batch operations.

Enables AI assistants such as Claude Desktop to access and manage amoCRM data—including leads, contacts, companies, tasks, pipelines, users, notes, and account information—through stdio or Streamable HTTP transports.

Enables MCP-compatible AI clients to query, analyze, and mutate Oracle Primavera P6 schedules from XER files or live P6 EPPM, with tools for critical path, DCMA compliance, earned value, resources, baselines, and exports.

A task manager MCP server that demonstrates core MCP concepts (resources, tools, prompts, stdio) and syncs data with a Next.js web app.

Enables LLMs to interact with Linear's issue tracking system, including creating, updating, searching issues, adding comments, and accessing resources via the Linear API.

Enables Claude to read Jira CSV/JSON backlog exports, audit tickets for test readiness, and generate validated Gherkin acceptance scenarios tied to ticket criteria. It also tracks acceptance-criteria coverage and flags ambiguities or missing information for Product Owner follow-up.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

Coordinates meal plans, shared kitchen resources like cook/oven/hob, and cook handoffs; supports starting/completing steps, previewing timing changes before applying, undo, and state persistence via MCP.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

An MCP server that allows AI agents to publish real-world tasks, match workers, manage progress, and handle compliant payments via standardized tools and resources.

A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

Enables AI applications to interact with ClickUp's project management API through the MCP protocol, supporting resources like Teams, Spaces, Goals, and Key Results.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

A Model Context Protocol (MCP) server that wraps the Jira CLI tool, exposing Jira commands through MCP resources, tools, and prompts for AI assistant integration.

Enables Claude and other LLM clients to read and write Microsoft Project files directly, covering tasks, resources, assignments, dependencies, and critical path information without needing Microsoft Project open.

Enables task management with persistent SQLite storage, along with tools, resources, subscriptions, prompts, and completions over stdio or Streamable HTTP with per-user authentication.

Integrates Sentry error tracking and JIRA project management APIs, enabling users to query organizations, projects, and issues from Sentry, and retrieve or update JIRA ticket information through natural language.