contextplus

MCP server · GitHub · ★ 2k · graded 2026-10-21Source linked

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

No outside reports on file

Use Context+ only on codebases you control, ensure it never indexes files with secrets or credentials, and regularly review what data it's processing.

Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads & writes local foldersREVIEW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsRequires API key or tokenREVIEW
  • Package sourceGitHub (forloopcodes/contextplus)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/forloopcodes/contextplus ↗

All setup options ↓

About Contextplus

Context+ is an MCP server that helps developers search and understand large codebases by building a searchable map of code structure and relationships. It uses several techniques—including semantic search (RAG), code parsing (Tree-sitter AST), and clustering—to organize code features into a linked graph similar to note-taking apps like Obsidian.

Who it’s for

Developers working on large or complex codebases who need to quickly find related code, understand dependencies, or navigate unfamiliar projects. Teams that want AI tools to have better context about their code structure.

Alternatives

  • Sourcegraph: Web-based code search and intelligence for large repositories.
  • OpenAI's Codebase analyzer: Uses AI to answer questions about codebases (closed-source, cloud-based).
  • Tree-sitter-based linters: Simpler AST tools for code analysis without the semantic search layer (e.g., ESLint, Semgrep).
  • Tabnine or GitHub Copilot: AI coding assistants that index code for context (cloud-based, closed ecosystems).

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README at https://github.com/forloopcodes/contextplus (opens external site) for installation and MCP server configuration instructions, as setup may vary based on your development environment and AI tool.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

38/100
GitHub stars
2k
Listing last refreshed
2026-10-28

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-28).

Check a specific version →

Risks to watch for

  • Codebase access: The tool reads your entire codebase to build its index, so it can access any file in the project directory you point it to.
  • Sensitive data in code: If credentials, API keys, or private information are stored in code comments or strings, the indexing process will include them in the searchable graph.
  • Code leakage through search results: Search results or the generated feature graph could inadvertently expose proprietary logic or architecture if shared or logged.
  • Malicious code patterns: Specially crafted code with unusual syntax or comments might confuse the parsing or clustering logic, potentially hiding malicious sections or causing incorrect code relationships.
  • Supply chain risk: Like any third-party tool, updates or dependencies could introduce vulnerabilities; check releases and dependencies regularly.

How to lower the risk

Least-privilege permissions

  • Run the MCP server with read-only access to code directories.
  • Do not grant it access to system files, environment variables, or configuration files outside your project.

Network isolation

  • Keep the server local to your development machine or trusted network.
  • Disable remote access unless absolutely necessary and properly authenticated.

Monitoring

  • Log which files and directories the server indexes.
  • Review the generated feature graph to spot unexpected code relationships or exposed sensitive data.

Red flags to watch for

  • Sudden changes in indexing speed or memory use (could indicate processing unexpected files).
  • Search results that reference files you didn't expect to be indexed.
  • Updates that add new permissions or network capabilities.

Questions

How do I install Contextplus?

Contextplus does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/forloopcodes/contextplus.

Are there security reports about Contextplus?

No reports found for this package in our research (last checked 2026-10-28). Contextplus currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include codebase access, sensitive data in code, code leakage through search results.

Is Contextplus actively maintained?

Contextplus has 2k GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/forloopcodes/contextplus before pinning it in production.

What are alternatives to Contextplus?

Notable alternatives to Contextplus include Sourcegraph (Web-based code search and intelligence for large repositories), OpenAI's Codebase analyzer (Uses AI to answer questions about codebases (closed-source, cloud-based)), Tree-sitter-based linters (Simpler AST tools for code analysis without the semantic search layer (e.g., ESLint, Semgrep)), Tabnine or GitHub Copilot (AI coding assistants that index code for context (cloud-based, closed ecosystems)). You can also compare Contextplus side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use Contextplus? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Contextplus

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Contextplus](https://agentarmorhq.com/api/badge/forloopcodes-contextplus)](https://agentarmorhq.com/skills/forloopcodes-contextplus)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/forloopcodes-contextplus"><img src="https://agentarmorhq.com/api/badge/forloopcodes-contextplus" alt="AgentArmorHQ Risk Grade for Contextplus" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "forloopcodes-contextplus"

Share with your security lead

Need sign-off to use contextplus? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: contextplus
- **Listing URL:** https://agentarmorhq.com/skills/forloopcodes-contextplus
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 2k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** Reads & writes local folders
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** Requires API key or token
- **Package source:** GitHub (forloopcodes/contextplus)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/forloopcodes/contextplus
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
forloopcodes
Source code
github.com/forloopcodes/contextplus
Est. context load
~600 tokens / turn (~3 tool schemas, 0.3% of 200k context)
Popularity
2k GitHub stars
Last updated
2026-10-28
Last graded
2026-10-21

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