Skip to main content
Glama
tisDDM

SearXNG MCP Server

by tisDDM

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as performing web searches using SearXNG, making it distinct by default.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'searxngsearch' follows a single pattern without any deviations or mixing of conventions.

    Tool Count2/5

    A single tool is too few for a server that appears to handle web searches, as it lacks operations for refining searches, managing results, or handling other aspects of a search engine's functionality. This feels thin and incomplete for the domain.

    Completeness2/5

    The tool surface is severely incomplete for a search engine server. It only provides a basic search function, with no tools for filtering results, handling pagination, accessing advanced search features, or managing search history, leading to significant gaps in coverage.

  • Average 2.9/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries the full burden. It mentions 'privacy-respecting' and 'returns relevant web content,' but doesn't disclose key behavioral traits like rate limits, authentication needs, error handling, or what 'relevant' entails (e.g., ranking, source diversity). For a search tool with no annotation coverage, this is a significant gap.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is concise and front-loaded, stating the core purpose in the first sentence. The second sentence adds useful context about returns and parameters without redundancy. It could be slightly more structured (e.g., bullet points), but it's efficient with zero waste.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's moderate complexity (8 parameters, no output schema, no annotations), the description is adequate but incomplete. It covers the basic purpose and hints at behavior, but lacks details on output format, error cases, or operational constraints. Without annotations or output schema, more context would help the agent.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so the schema fully documents all 8 parameters. The description adds minimal value beyond the schema by mentioning 'customizable parameters' but doesn't provide additional semantics or context for parameter usage. Baseline 3 is appropriate when the schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool performs web searches using SearXNG, specifying it's a privacy-respecting metasearch engine. It distinguishes the tool by mentioning its privacy focus and customizable parameters, though without siblings, differentiation isn't needed. However, it could be more specific about the exact verb and resource (e.g., 'search the web' rather than 'perform web searches').

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It mentions 'customizable parameters' but doesn't explain when specific settings are appropriate. Without siblings, this is less critical, but it still lacks usage context for the agent.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

searxng-mcp MCP server

Copy to your README.md:

Score Badge

searxng-mcp MCP server

Copy to your README.md:

Latest Blog Posts

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/tisDDM/searxng-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server