@eslint/mcp
MCP ServerFreeMCP server for ESLint
Capabilities6 decomposed
mcp-based eslint rule execution and linting orchestration
Medium confidenceExposes ESLint's linting engine as an MCP server, allowing remote clients (Claude, other LLM agents, or tools) to invoke ESLint rule checking and code analysis over the MCP protocol. The server wraps ESLint's core linting API and translates rule violations into structured MCP resource/tool responses, enabling stateless, request-response linting without direct filesystem access from the client.
Bridges ESLint (a mature, widely-adopted linting tool) into the MCP ecosystem, enabling AI agents and remote tools to invoke linting without direct filesystem access or subprocess spawning. Uses MCP's resource/tool abstraction to expose ESLint's linting API as a standardized remote service.
Provides centralized, MCP-native linting for AI agents (vs. agents spawning ESLint subprocesses or calling ESLint via REST APIs), with full access to ESLint's rule ecosystem and configuration system.
eslint rule metadata and documentation retrieval
Medium confidenceExposes ESLint rule definitions, descriptions, and documentation links as MCP resources or tools, allowing clients to query rule metadata without parsing ESLint's internal rule registry. The server introspects the loaded ESLint ruleset and surfaces rule names, descriptions, categories, and documentation URLs for use in AI-assisted code review or rule recommendation workflows.
Exposes ESLint's internal rule registry as queryable MCP resources, allowing clients to introspect rule definitions without parsing ESLint source code or documentation. Integrates with ESLint 9.x's flat config system to surface rule metadata dynamically.
Provides programmatic access to rule metadata via MCP (vs. hardcoding rule descriptions or scraping ESLint docs), ensuring metadata stays in sync with the actual ESLint version running in the server.
automatic eslint fix application and suggestion generation
Medium confidenceInvokes ESLint's built-in auto-fix mechanism to automatically correct code violations where rules provide fix implementations. The server applies fixes to code strings or files, returns the corrected code, and optionally provides structured fix suggestions (before/after diffs, rule applied, confidence level) for client-side review or approval workflows.
Wraps ESLint's fix API in an MCP-accessible interface, allowing remote clients to request and apply fixes without spawning ESLint processes. Integrates with ESLint 9.x's rule fix system and provides structured fix metadata for client-side approval workflows.
Enables AI agents to apply ESLint fixes as part of a larger workflow (vs. agents manually rewriting code or calling ESLint CLI), with full access to ESLint's fix implementations and the ability to preview fixes before applying them.
multi-file batch linting with aggregated results
Medium confidenceAccepts multiple code files or file paths in a single MCP request and returns aggregated linting results across all files. The server batches ESLint invocations, deduplicates configuration loading, and returns structured results grouped by file, enabling efficient bulk code analysis for large codebases or multi-file refactoring workflows.
Batches ESLint invocations to analyze multiple files in a single MCP request, reducing overhead vs. individual file requests. Aggregates results with file-level grouping and summary statistics for efficient bulk analysis.
More efficient than making separate MCP requests per file (reduces network round-trips and server startup overhead), while providing structured aggregation suitable for dashboards or bulk refactoring workflows.
eslint configuration discovery and validation
Medium confidenceAutomatically discovers and loads ESLint configuration files (.eslintrc.js, eslint.config.js, or package.json eslintConfig) from the server's working directory and validates the configuration for syntax errors or invalid rule options. The server exposes the loaded configuration as MCP resources, allowing clients to query which rules are enabled, their severity levels, and any configuration errors.
Exposes ESLint's configuration discovery and validation as MCP resources, allowing clients to introspect the active rule set without parsing config files manually. Integrates with ESLint 9.x's flat config system and legacy config support.
Provides programmatic access to ESLint configuration via MCP (vs. clients parsing config files themselves or calling ESLint CLI with --print-config), ensuring config state is consistent with the server's linting behavior.
language-specific linting with parser and plugin support
Medium confidenceSupports linting of multiple languages (JavaScript, TypeScript, JSX, TSX) by leveraging ESLint's parser and plugin system. The server loads configured parsers (e.g., @typescript-eslint/parser) and plugins (e.g., @typescript-eslint/eslint-plugin) from the server environment, enabling language-specific rule checking and type-aware linting for TypeScript code.
Leverages ESLint 9.x's flat config system and plugin architecture to support multiple languages and type-aware linting. Integrates with @typescript-eslint and other language-specific plugins without requiring client-side parser installation.
Provides type-aware linting for TypeScript via MCP (vs. clients running separate TypeScript linters or ESLint CLI with complex config), with full access to the @typescript-eslint rule ecosystem.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @eslint/mcp, ranked by overlap. Discovered automatically through the match graph.
@eslint/mcp
MCP server for ESLint
@toolspec/core
MCP tool schema linting and quality scoring engine
ESLint
Real-time ESLint integration with auto-fix.
nx-mcp
A Model Context Protocol server implementation for Nx
nx-mcp
A Model Context Protocol server implementation for Nx
elisp-dev-mcp
** - elisp (Emacs Lisp) development support tools, running in Emacs.
Best For
- ✓AI agent developers building code-aware workflows with Claude or other LLM clients
- ✓Teams using MCP-compatible tools (Claude Desktop, custom MCP clients) who want centralized linting
- ✓Developers building multi-tool development environments where ESLint must be accessible over MCP
- ✓AI agents providing code review explanations or rule-based refactoring guidance
- ✓Interactive tools that need to display ESLint rule documentation to users
- ✓Developers building custom linting workflows that require rule context
- ✓AI agents performing automated code cleanup or style normalization
- ✓Interactive code editors integrating ESLint fixes into LLM-assisted workflows
Known Limitations
- ⚠Requires a running MCP server process — adds deployment complexity vs. direct ESLint npm module usage
- ⚠Network latency between MCP client and server adds overhead compared to in-process linting
- ⚠Configuration must be accessible to the server process; client cannot dynamically inject ESLint configs
- ⚠No built-in caching of lint results — each request re-runs the full linting pass
- ⚠Limited to ESLint's rule set; custom rules must be installed in the server's environment
- ⚠Metadata is static per server startup — changes to ESLint rules require server restart
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
Package Details
About
MCP server for ESLint
Categories
Alternatives to @eslint/mcp
Are you the builder of @eslint/mcp?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →