cor-mcp-server

cor-mcp-server is a skill for Claude Code, Codex from fxckcode/mcp-cor. It costs 55 tokens per session (3,225 once invoked), scanned C, original, MIT.

A connector that exposes Project COR’s project-management service to AI agents through 61 tools. Project COR helps teams manage projects, tasks, clients, time, budgets, billing, teams, and resource assignments.

In plain words
What is it for?
Use it to create and manage projects, tasks, clients, contracts, billing details, time entries, teams, rates, products, and resource allocations in Project COR.
Why use it?
It lets an agent work with COR data and operations through one connection instead of requiring separate manual API work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create and manage projects, tasks, clients, contracts, billing details, time entries, teams, rates, products, and resource allocations in Project COR.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fxckcode/mcp-cor/cor-mcp-server
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fxckcode/mcp-cor --skill cor-mcp-server
Clone the repo
git clone --depth 1 https://github.com/fxckcode/mcp-cor

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cor-mcp-server

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cor-mcp-server

Your own site · 80×15
<a href="https://agentmods.dev/skills/fxckcode/mcp-cor/cor-mcp-server"><img src="https://agentmods.dev/badge/skills/fxckcode/mcp-cor/cor-mcp-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,225 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.03225
Opus 5.5 $0.00022 $0.01290
Sonnet 5.5 $0.00011 $0.00645
Haiku 4.5 $0.00006 $0.00323

Measured 1mo ago against content hash 361930fbd8d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

cor-mcp-server scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

| `Command not found: uv` | uv not installed | Install: `curl -LsSf https://astral.sh/uv/install.sh | sh` |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `Command not found: uv` | uv not installed | Install: `curl -LsSf https://astral.sh/uv/install.sh | sh` |
skills/cor-mcp-server/SKILL.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

COR MCP Server

What Is COR?

Project COR is a project management platform for creative and professional teams. It provides tools for:

  • Project management — Create and manage projects, track budgets, costs, and profitability
  • Task management — Assign tasks, set deadlines, track progress
  • Client management — Manage clients, contracts, and billing
  • Time tracking — Log hours, approve/reject entries, manage timesheets
  • Team management — Organize users into teams, allocate resources
  • Ratecards & Products — Define pricing and billing structures
  • Resource allocation — Allocate team members to projects with percentages and dates

The COR MCP Server wraps the COR REST API (api.projectcor.com/v1) as 61 Model Context Protocol (MCP) tools, making them accessible from any MCP-compatible AI agent.

Architecture Overview

┌──────────────────────┐     ┌──────────────────────────────┐     ┌──────────────────────┐
│  MCP Client          │     │  COR MCP Server              │     │  COR REST API        │
│  (Hermes / Claude /  │◄───►│  (FastMCP + httpx)           │────►│  api.projectcor.com  │
│   Cursor / etc.)     │     │                              │     │  /v1                 │
└──────────────────────┘     ├──────────────────────────────┤     └──────────────────────┘
                             │  Auth auto-detection          │
                             │  • Email/Password (priority)  │
                             │  • API Key + Client Secret    │
                             └──────────────────────────────┘

Technology stack:

  • FastMCP (mcp[cli]>=1.0.0) — MCP server framework
  • httpx (>=0.27.0) — Async HTTP client
  • python-dotenv (>=1.0.0) — Environment variable management
  • Python 3.11+ — Async/await throughout
  • Dual transport — stdio (for local agents) and SSE/HTTP (for remote access)

Project structure:

cor-mcp-server/
├── pyproject.toml              # Dependencies and metadata
├── README.md                   # Full documentation
├── .env.example                # Env var template
├── Dockerfile                  # Container deployment
├── skills/                     # Hermes Agent skills
├── cor_mcp_server/
│   ├── __init__.py
│   ├── __main__.py             # CLI entry point
│   ├── server.py               # FastMCP + 61 tool registrations
│   ├── auth.py                 # Dual-mode OAuth 2.0
│   ├── client.py               # Async HTTP client
│   ├── context.py              # Shared client context
│   ├── models.py               # Pydantic models
│   └── tools/                  # 11 tool modules
│       ├── projects.py         # 14 tools
│       ├── tasks.py            # 10 tools
│       ├── time_tracking.py    # 5 tools
│       ├── clients.py          # 6 tools
│       ├── contracts.py        # 5 tools
│       ├── messaging.py        # 4 tools
│       ├── team.py             # 8 tools
│       ├── labels.py           # 1 tool
│       ├── ratecards.py        # 3 tools
│       ├── allocations.py      # 3 tools
│       └── products.py         # 2 tools
└── tests/
    └── test_tools.py           # 24 passing tests (mocked)

Read the full file on GitHub · 310 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 310 lines · 55 tokens per session scan C 361930fbd8d5

Subscribe to this mod's changes

cor-mcp-server is a skill published in the GitHub repository fxckcode/mcp-cor (0 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 3,225 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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