higpertext-mcp
Provides tools for working with Git repositories, including viewing diffs, listing tracked files, and creating commits.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@higpertext-mcprun a secret scan on the current project and summarize findings"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
higpertext-mcp
Servidor MCP que expone 10 capabilities de higpertext-cli como tools reales
(function-calling), en vez del interceptor de texto sobre Bash que usaba antes el motor.
Por qué existe
Ver la discusión de diseño en el historial del proyecto higpertext-cli
(bash_rules.py, hook_bash_guard.py): los redirects de texto sobre Bash
(grep, git diff/status, etc.) interceptaban el comando, ejecutaban la capability
en un subprocess aparte y el comando original corría de todos modos — ruido sin
efecto real. Este servidor reemplaza esa capa con tools MCP genuinas: el modelo
invoca la capability directamente, con schema validado, sin pasar por Bash.
Related MCP server: mcp_server_for_claudes_toolbox
Capabilities v1 (10, fijas)
common.grep-search, git.diff, git.ls-files, common.smart-read,
common.code-skeletonizer, common.knowledge-asker, common.memory-manager,
git.committer, security.secret-scanner, common.quality-resolver.
Solo se registran como tool las que además estén listadas en capabilities del
perfil activo del proyecto destino (.higpertext/config/environment.json →
active_profile → src/config/profiles/<perfil>.json). Sin perfil activo o
legible, no se expone ninguna tool (fail-closed).
Instalación
higpertext-cli es un paquete propietario, no está en PyPI — se instala editable
apuntando al checkout local, igual que agent-bootstrap lo hace para agentes
externos:
python3 -m venv .venv
.venv/bin/pip install -e /ruta/a/higpertext-cli
.venv/bin/pip install -e .Uso con Claude Code
Agregar en .mcp.json del proyecto destino (el que tiene su propio
.higpertext/):
{
"mcpServers": {
"higpertext": {
"command": "/ruta/a/higpertext-mcp/.venv/bin/python",
"args": ["-m", "higpertext_mcp.server"]
}
}
}El servidor resuelve la raíz del proyecto por cwd del proceso (el cliente MCP
local lo lanza con cwd = raíz del proyecto). Para forzar otra raíz, setear
HIGPERTEXT_PROJECT_ROOT en el bloque env de la entrada del server en
.mcp.json.
Limitación conocida (v1): la lista de tools se arma una sola vez, al conectar.
Si cambiás de perfil (htx profile load) a mitad de sesión, hay que reconectar el
server para que la lista de tools se actualice — no hay refresh automático todavía.
Tests
.venv/bin/python -m pytest tests -qDos tests (test_load_tool_spec_real_grep_search,
test_call_capability_real_grep_search_on_this_repo) son de integración real: usan
la definición real de common.grep-search del motor instalado, así que hay que
correrlos con higpertext-cli instalado editable (ver Instalación) y cwd dentro de
un checkout de higpertext-cli real.
Roadmap (no construido todavía)
Resto de las ~37 capabilities restantes del motor.
Refresh de tools al cambiar de perfil sin reconectar.
Confirmación explícita antes de invocar capabilities con side-effects destructivos (
git.committer,common.memory-manager).
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceDynamically exposes CLI/bash commands as MCP tools and creates structured AI prompt templates through simple YAML configuration files, enabling users to transform any command-line tool into an MCP-compatible interface without writing code.19Apache 2.0
- FlicenseNot gradedqualityDmaintenanceExposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.3
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with a Git-native organizational governance system, supporting proposal-validation workflows, decision-making, and audit trail management through 21 MCP tools over stdio transport.1MIT
- AlicenseNot gradedqualityBmaintenanceProvides MCP tools for common developer operations like file outlining, git commit context, test summary, process management, and waiting for conditions, returning structured JSON to reduce token usage.MIT
Related MCP Connectors
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
Free public MCP for AI agents — 193 tools, 44 workflows. No API key.
JSON/YAML, regex, diff, JWT, SQL dialects — the keyless millisecond ops an agent needs mid-task.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/higpertext/higpertext-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server