Skip to main content
Glama
alexsmirnov

MCP Server for continue.dev

by alexsmirnov

Server Quality Checklist

50%
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 ambiguity or overlap between tools. The tool 'web_search' has a clear and distinct purpose that cannot be confused with any other tool in this set.

    Naming Consistency5/5

    A single tool inherently exhibits perfect naming consistency, as there are no other tools to compare against. The tool name 'web_search' follows a clear verb_noun pattern, which would be consistent if more tools were added.

    Tool Count2/5

    A server with only one tool feels thin and under-scoped for a general-purpose domain like 'continue.dev', which might imply broader functionality. While a single tool can be appropriate for highly specialized servers, this seems too minimal for the apparent scope.

    Completeness2/5

    The tool surface is severely incomplete for a server named for 'continue.dev', which likely involves development or coding assistance. A single web search tool leaves significant gaps, such as code analysis, file operations, or other development-related tasks, causing potential agent failures.

  • Average 2.1/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 55 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • Add a LICENSE file by following GitHub's guide. Once GitHub recognizes the license, the system will automatically detect it within a few hours.

    If the license does not appear after some time, you can manually trigger a new scan using the MCP server admin interface.

    MCP servers without a LICENSE cannot be installed.

  • 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

  • Behavior1/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. The description 'Search the web for information' does not disclose any behavioral traits such as rate limits, authentication needs, response format, pagination, or whether it's a read-only or mutating operation. It fails to provide essential context for safe and effective use.

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

    Conciseness5/5

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

    The description is a single, efficient sentence with no wasted words. It is appropriately sized for a simple tool and front-loaded with the core action, making it easy to parse quickly. Every part of the sentence contributes to the basic understanding.

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

    Completeness1/5

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

    Given the tool's complexity (a web search tool with no annotations, no output schema, and low parameter documentation), the description is incomplete. It lacks details on behavior, output, error handling, and usage context, making it insufficient for an AI agent to select and invoke the tool correctly without additional assumptions or trial-and-error.

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

    Parameters1/5

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

    The input schema has 1 parameter with 0% description coverage, and the description does not add any meaning beyond what the schema provides. It mentions 'Search the web' but does not explain the 'query' parameter's semantics, format, or constraints (e.g., length limits, special syntax). With low schema coverage, the description fails to compensate, leaving the parameter poorly documented.

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

    Purpose3/5

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

    The description 'Search the web for information' states the general purpose with a verb ('Search') and resource ('the web'), but it's vague about scope and functionality. It doesn't specify what kind of search this is (e.g., general web search, news search, image search) or how results are returned, which leaves the purpose ambiguous despite being understandable at a basic level.

    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. There are no sibling tools mentioned, so no explicit comparison is needed, but it lacks any context about appropriate use cases, prerequisites, or limitations (e.g., when to prefer this over other search methods). This leaves the agent with minimal direction.

    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

obsidian-second-brain-mcp MCP server

Copy to your README.md:

Score Badge

obsidian-second-brain-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/alexsmirnov/obsidian-second-brain-mcp'

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