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Glama
copus-io

Copus MCP Server

Official
by copus-io
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_curationsA

Search human-curated content recommendations on Copus. Unlike regular search engines, these are recommendations from real people who explain why the content is valuable. Great for finding trusted tools, articles, and resources vetted by domain experts.

Examples:

  • "python learning resources" - Find recommended Python tutorials and courses

  • "wireframing tools" - Discover designer-recommended wireframing software

  • "creative writing" - Get curated articles and resources on writing

  • "AI tools" - Find AI tools recommended by practitioners

  • "productivity apps" - Discover productivity tools people actually use

get_curationA

Get detailed information about a specific Copus curation including:

  • The curator's personal recommendation note explaining why this content is valuable

  • Curator credentials (why they're qualified to recommend this)

  • Key takeaways and summary

  • Target audience

  • What problem this content solves

  • Original source URL

  • Engagement metrics (views, saves, comments)

Use this after search_curations to get full details about a specific result.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct roles: search_curations finds content, get_curation retrieves details. There is no ambiguity between them.

Naming Consistency5/5

Both tool names follow the verb_noun pattern using snake_case: search_curations and get_curation. The pattern is consistent and predictable.

Tool Count3/5

With only 2 tools, the server is very lean. While it covers search and detail retrieval for curations, the minimal set may feel insufficient for more complex workflows, though it is appropriate for a simple read-only API.

Completeness3/5

The server covers the essential operations for browsing curations (search and get details), but lacks filtering, sorting, or any curation management tools. It fulfills its basic purpose but has notable gaps if more functionality is expected.

Maintenance

ActivityInactive
ResponsivenessSyncing

Resources