Is io.github.XJTLUmedia/context-first-mcp safe to use?

io.github.XJTLUmedia/context-first-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.XJTLUmedia/context-first-mcp?

io.github.XJTLUmedia/context-first-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

Is io.github.XJTLUmedia/context-first-mcp actively maintained?

io.github.XJTLUmedia/context-first-mcp is actively maintained — last commit was 1 day ago.

io.github.XJTLUmedia/context-first-mcp

37-tool MCP server: context health, memory, reasoning, truthfulness & research pipeline.

ActiveNot tested

AI / ML Entertainment

GitHub

28DNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-xjtlumedia-context-first-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-xjtlumedia-context-first-mcp)](https://mcppedia.org/s/io-github-xjtlumedia-context-first-mcp)

Should you use this server?

37-tool MCP server: context health, memory, reasoning, truthfulness & research pipeline.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 1 days ago.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

Context-First MCP

The MCP server that keeps your AI grounded, coherent, and honest — across every turn.

npx context-first-mcp

Works instantly with Claude Desktop · Cursor · VS Code · any MCP client · Vercel remote — zero API keys needed.

37 research-backed tools across 7 layers — context health, state, sandboxing, persistent memory, advanced reasoning, truthfulness verification, orchestration, structured research, and autonomous file export. One context_loop call replaces 6–7 individual tools and returns a unified action directive.

Why Your AI Conversations Break Down

Long AI conversations fail in predictable ways. Context-First fixes all four:

Failure Mode	What Goes Wrong	Context-First Solution
Context Drift	AI forgets earlier decisions and intent as the conversation grows	`context_loop` + `detect_drift` continuously re-anchor every turn
Silent Contradiction	New inputs silently overrule established facts — the AI doesn't notice	`detect_conflicts` compares every input against locked ground truth
Vague Execution	AI proceeds on underspecified requirements, producing misaligned output	`check_ambiguity` + `abstention_check` ask clarifying questions instead of guessing
Hallucinated Success	Tool outputs look successful but didn't actually achieve the goal	`verify_execution` rechecks whether the outcome matches the stated intent

What You Get

37 production-ready tools grouped into 7 layers — plus 1 orchestrator that runs them all:

context_loop  ─────────────────────────────────────────────────────────────────
  ├─ Layer 1 · Context Health   (9 tools)   recap, conflict, ambiguity, depth …
  ├─ Layer 2 · Sandbox          (3 tools)   discover_tools, quarantine, merge
  ├─ Layer 3 · Persistent Memory(6 tools)   store, recall, compact, graph …
  ├─ Layer 4 · Advanced Reasoning(5 tools)  InftyThink, Coconut, KAG, MindEvo …
  ├─ Layer 5 · Truthfulness     (7 tools)   NCB, IOE, verify_first, self_critique…
  └─ State + Research Pipeline + Export     (7 tools)

One call. One directive. One score.

{
  "directive": {
    "action": "clarify",
    "contextHealth": 0.62,
    "instruction": "Resolve with the user: (1) Is this a firm requirement? (2) Which framework?",
    "autoExtractedFacts": { "deploy_to": "Vercel" },
    "suggestedNextTools": ["verify_execution", "quarantine_context"]
  }
}

Quick Start

npx — zero install

npx context-first-mcp

Claude Desktop

{
  "mcpServers": {
    "context-first": {
      "command": "npx",
      "args": ["-y", "context-first-mcp"]
    }
  }
}

Cursor / VS Code

{
  "mcp": {
    "servers": {
      "context-first": {
        "command": "npx",
        "args": ["-y", "context-first-mcp"]
      }
    }
  }
}

Remote (Streamable HTTP)

{
  "mcpServers": {
    "context-first": {
      "url": "https://context-first-mcp.vercel.app/api/mcp"
    }
  }
}

Deploy your own Vercel instance

[](https://vercel.com/new/clone?repository

... View full README on GitHub

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Score Breakdown

MCPpedia Score

Click each category to see evidence

28D

Last scored 6h ago

How we score →

Security

3/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.XJTLUmedia/context-first-mcp safe to use?: io.github.XJTLUmedia/context-first-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.XJTLUmedia/context-first-mcp?: io.github.XJTLUmedia/context-first-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.XJTLUmedia/context-first-mcp?: io.github.XJTLUmedia/context-first-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.XJTLUmedia/context-first-mcp actively maintained?: io.github.XJTLUmedia/context-first-mcp is actively maintained — last commit was 1 day ago.

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Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Context-First MCP

The MCP server that keeps your AI grounded, coherent, and honest — across every turn.

npx context-first-mcp

Works instantly with Claude Desktop · Cursor · VS Code · any MCP client · Vercel remote — zero API keys needed.

37 research-backed tools across 7 layers — context health, state, sandboxing, persistent memory, advanced reasoning, truthfulness verification, orchestration, structured research, and autonomous file export. One context_loop call replaces 6–7 individual tools and returns a unified action directive.

Why Your AI Conversations Break Down

Long AI conversations fail in predictable ways. Context-First fixes all four:

Failure Mode	What Goes Wrong	Context-First Solution
Context Drift	AI forgets earlier decisions and intent as the conversation grows	`context_loop` + `detect_drift` continuously re-anchor every turn
Silent Contradiction	New inputs silently overrule established facts — the AI doesn't notice	`detect_conflicts` compares every input against locked ground truth
Vague Execution	AI proceeds on underspecified requirements, producing misaligned output	`check_ambiguity` + `abstention_check` ask clarifying questions instead of guessing
Hallucinated Success	Tool outputs look successful but didn't actually achieve the goal	`verify_execution` rechecks whether the outcome matches the stated intent

What You Get

37 production-ready tools grouped into 7 layers — plus 1 orchestrator that runs them all:

context_loop  ─────────────────────────────────────────────────────────────────
  ├─ Layer 1 · Context Health   (9 tools)   recap, conflict, ambiguity, depth …
  ├─ Layer 2 · Sandbox          (3 tools)   discover_tools, quarantine, merge
  ├─ Layer 3 · Persistent Memory(6 tools)   store, recall, compact, graph …
  ├─ Layer 4 · Advanced Reasoning(5 tools)  InftyThink, Coconut, KAG, MindEvo …
  ├─ Layer 5 · Truthfulness     (7 tools)   NCB, IOE, verify_first, self_critique…
  └─ State + Research Pipeline + Export     (7 tools)

One call. One directive. One score.

{
  "directive": {
    "action": "clarify",
    "contextHealth": 0.62,
    "instruction": "Resolve with the user: (1) Is this a firm requirement? (2) Which framework?",
    "autoExtractedFacts": { "deploy_to": "Vercel" },
    "suggestedNextTools": ["verify_execution", "quarantine_context"]
  }
}

Quick Start

npx — zero install

npx context-first-mcp

Claude Desktop

{
  "mcpServers": {
    "context-first": {
      "command": "npx",
      "args": ["-y", "context-first-mcp"]
    }
  }
}

Cursor / VS Code

{
  "mcp": {
    "servers": {
      "context-first": {
        "command": "npx",
        "args": ["-y", "context-first-mcp"]
      }
    }
  }
}

Remote (Streamable HTTP)

{
  "mcpServers": {
    "context-first": {
      "url": "https://context-first-mcp.vercel.app/api/mcp"
    }
  }
}

Deploy your own Vercel instance

[](https://vercel.com/new/clone?repository

... View full README on GitHub