"Files" matching MCP servers:

Enables creating projects from uploaded files directly from AI assistants. Provides tools for obtaining upload URLs and creating project import jobs from previously uploaded files.

FastMCP server for tracking seed raise investor pipelines from Claude Code, syncing with Obsidian vault CRM files.

Enables AI agents to request vetted human assistance over MCP, including estimating, posting, polling, canceling, listing tasks, and uploading files for answers.

Provides complete FreshBooks integration with 87 tools covering accounting, invoicing, time tracking, expense management, client/project management, and financial reporting through OAuth2 authentication.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

MCP server that lets an agent work with the Weeek task manager: view boards, create, update and move tasks and subtasks, write and delete its own comments, attach and download files, and build time reports. It keeps project-specific boards, columns and conventions in a committed .weeek.json, and is read-only-safe, token-scoped, and limited to allowed attachment folders.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

Enables users to screen pasted job offers against a personal skills profile kept in local Markdown files, returning a fit verdict with evidence and deal-breakers while tallying missing skills into a recurring gap radar. It also tracks each offer through its application lifecycle and renders a one-page CV tailored to a specific offer from existing CV data, without scraping, network access, or its own AI.

Process memory for AI agents and humans that remembers the evolution of a project. Provides MCP tools to create timeline events, search history, explain files, and visualize the evolution graph.

A Jira-lite MCP server that enables planning-first workflows for AI-assisted development. It manages tickets as markdown files with YAML frontmatter, guiding agents through epics, stories, tasks, and architecture decision records.

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

A local MCP server giving Claude access to Trimble Connect, with 40 tools for projects, folder trees, files, versions, members, groups, and permissions via the Core API v2.

Enables assistants to read and analyze construction schedules like a scheduler: CPM, float, critical paths, DCMA 14-point, logic checks, update-to-update comparison, baseline variance, and S-curves from P6 XER and MS Project files.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

MCP server for sharing markdown/text as beautiful, permanent web pages via plsreadme, with tools to share files/text, update and delete docs, and list previously shared links.

MCP server that lets Claude manage an ISO 19650 / TCVN 14177 Common Data Environment on Autodesk Construction Cloud — projects, CDE folder trees, permissions, files, document status and naming compliance.

Enables an AI assistant to analyse, and when permitted edit, Primavera P6 Professional schedules on a Windows PC, whether they live in a standalone SQLite database or plain XER files. It provides critical path and float analysis, DCMA health checks, progress comparisons, and in-memory what-if scenarios, with write operations off by default and protected by dry runs, backups, and an edit log.

Provides Redmine issue tracking, time logging, and lookups, along with an offline Markdown preview tool that serves files in the InkyMD reader.