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Multilspy

Multilspy is a Python client library that communicates with language servers through the Language Server Protocol and exposes repository-oriented static-analysis results through synchronous and asyncio APIs.

Independent OpenViST project profile, based on linked sources.

Multilspy — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an application needs a common Python interface to language servers and their repository-level analysis results, especially across more than one supported programming language.

Who it is for

  • Python developers building language-aware developer tools
  • Teams creating repository analysis workflows
  • Researchers and engineers combining language-server context with code language models

Documented uses

  • Query definitions, references, completions, hover information and document symbols
  • Build applications that use language-server results across multiple programming languages
  • Provide static-analysis context to code-completion or code-generation workflows
Before you choose

Requirements & limits

The project is available as a public MIT-licensed repository and can be installed as a Python package with pip.

  • The application must work with one of the language-server pairings listed by the project.
  • The relevant language server and its platform-specific setup are part of the integration context.
  • Multilspy provides the client and query layer; completion products, language models and higher-level generation logic must be built separately.
  • Both synchronous and asyncio interfaces are available for different Python application designs.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Multilspy in a Python environment

Set up the Multilspy package in a Python 3.10 virtual environment.

Before you start

  • Python 3.10 or newer
  • Conda, or another Python virtual-environment workflow
  • pip

Steps

  1. Create a new environment with Python 3.10, such as with conda create -n multilspy_env python=3.10.

  2. Activate the environment.

  3. Install the package with pip install multilspy.

Expected outcome

Multilspy is installed in an isolated Python environment ready for application development.

Guide limitations

  • This setup procedure does not document execution of a language-server query.
  • A project still needs a supported language server and a repository path for application use.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
microsoft/multilspy · Official homepage title · retained in its source language