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Capacities MCP Server

by jem-computer
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JavaScript
Hybrid

Capacities MCP Plus

An enhanced MCP (Model Context Protocol) server for Capacities, providing seamless integration with your knowledge management system.

Note: This is a fork of jemgold/capacities-mcp with additional features and fixes.

What's Different from the Original

Feature

Original

Plus

Read Object Content

Not available

Retrieve full note content by object ID

fastmcp Version

1.27.3

3.25.4 (fixes MCP SDK compatibility)

Windows Support

May have issues

Tested with cmd wrapper

npm Package

capacities-mcp

capacities-mcp-plus

New Tool: capacities_read_object_content

Retrieve the full content of any Capacities object by its ID:

  • Tries undocumented API endpoints first for direct retrieval

  • Falls back to search API aggregation when direct access unavailable

  • Provides title parameter to improve search accuracy

Related MCP server: ClickUp MCP Server

Features

This MCP server provides access to all current Capacities API endpoints:

  • List Spaces - Get all your personal spaces

  • Space Information - Retrieve detailed space structures and collections

  • Search Content - Search across spaces with advanced filtering

  • Read Object Content - Retrieve full note content by object ID

  • Save Weblinks - Save URLs to your spaces with metadata

  • Daily Notes - Add content to your daily notes

Installation

For Claude Desktop (macOS)

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "capacities": {
      "command": "npx",
      "args": ["-y", "capacities-mcp-plus"],
      "env": {
        "CAPACITIES_API_KEY": "your_capacities_api_key_here"
      }
    }
  }
}

For Claude Desktop (Windows)

Windows requires a cmd wrapper. Add to %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "capacities": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "capacities-mcp-plus"],
      "env": {
        "CAPACITIES_API_KEY": "your_capacities_api_key_here"
      }
    }
  }
}

Get your Capacities API key from your Capacities account settings.

That's it! The server will be automatically downloaded and run when Claude Desktop starts.

Development

Local Setup

For local development, you'll need to clone and build the project:

  1. Clone this repository:

git clone https://github.com/Im-Hal-9K/capacities-mcp.git
cd capacities-mcp

  1. Install dependencies:

npm install
# or
bun install

  1. Copy the example environment file:

cp .env.example .env

  1. Add your Capacities API key to .env:

CAPACITIES_API_KEY=your_api_key_here

  1. Build the server:

npm run build

Running the Server

Start the development server with interactive mode:

bun run dev

For production use:

npm run start

To inspect the server tools and schema:

bun run inspect

Testing

Run the test suite:

bun run test

Code Quality

Check linting and types:

bun run lint

Format code:

bun run format

API Reference

Get your Capacities API key from your Capacities account settings.

For detailed API documentation, see:

Available Tools

capacities_list_spaces

Get a list of all your personal spaces.

capacities_get_space_info

Get detailed information about a specific space, including structures and collections.

  • spaceId: UUID of the space

capacities_search

Search for content across your spaces with optional filtering.

  • searchTerm: Text to search for

  • spaceIds: Array of space UUIDs to search in

  • mode (optional): "fullText" or "title" search mode

  • filterStructureIds (optional): Filter by specific structure types

capacities_read_object_content

Retrieve the full content of a Capacities object by its ID.

  • objectId: UUID of the object to retrieve (can be obtained from 'Copy object reference' in Capacities)

  • spaceId: UUID of the space containing the object

  • title (optional): The title or partial title of the object - strongly recommended to improve search results

  • How it works:

    1. First attempts to use undocumented GET endpoints for direct object retrieval

    2. Falls back to search API, aggregating content from highlights and snippets

    3. Filters search results by object ID to find exact match

  • Note: When using search fallback, content may be incomplete as it's assembled from search snippets. Providing the title parameter significantly improves results.

capacities_save_weblink

Save a web link to a space with optional metadata.

  • spaceId: UUID of the target space

  • url: The URL to save

  • titleOverwrite (optional): Custom title for the link

  • descriptionOverwrite (optional): Description text

  • tags (optional): Array of tags. Tags need to exactly match your tag names in Capacities, otherwise they will be created.

  • mdText (optional): Text formatted as markdown that will be added to the notes section

capacities_save_to_daily_note

Add markdown content to today's daily note in a space.

  • spaceId: UUID of the target space

  • mdText: Markdown content to add

  • origin (optional): Origin label for the content (only "commandPalette" is supported)

  • noTimestamp (optional): If true, no timestamp will be added to the note

Rate Limits

The Capacities API has the following rate limits:

  • /spaces: 5 requests per 60 seconds

  • /space-info: 5 requests per 60 seconds

  • /search: 120 requests per 60 seconds

  • /save-weblink: 10 requests per 60 seconds

  • /save-to-daily-note: 5 requests per 60 seconds

Example Prompts

Here are some example prompts you can use with Claude when this MCP server is configured:

Getting Started

"Show me all my Capacities spaces"
"What spaces do I have in Capacities?"

Exploring Your Knowledge Base

"Get detailed information about my main workspace in Capacities"
"What structures and collections are in my [space name] space?"

Searching Content

"Search for 'project management' across all my Capacities spaces"
"Find all notes mentioning 'machine learning' in my research space"
"Search for 'meeting notes' but only check titles, not full content"

Reading Content

"Read the content of object [object-id] from my research space"
"Get the full note content for [title] in my workspace"

Saving Information

"Save this article to my research space: https://example.com/article"
"Bookmark this GitHub repo in my coding space with tags 'javascript' and 'tools'"
"Save this link with a custom title and description to my resources space"

Daily Notes

"Add a summary of today's key insights to my daily note"
"Save these meeting notes to today's daily note in my work space"
"Add this quote to my daily note: [your quote here]"

Advanced Usage

"Search for 'productivity' in my work and personal spaces, but filter to only show task-related structures"
"Save this research paper to my academic space and add it to today's daily note as well"
"Find all my notes about 'AI tools' and then save the best ones as bookmarks"

Credits

License

MIT - see LICENSE file for details.

Available Tools

5 tools
capacities_get_space_infoA
Read-only

Get detailed information about a specific Capacities space including structures and collections

ParametersJSON Schema
NameRequiredDescriptionDefault
spaceIdYesThe UUID of the space to get information for

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, indicating this is a safe read operation that may return varying data. The description adds value by specifying what information is included ('structures and collections'), which provides useful context beyond the annotations. However, it doesn't mention rate limits, authentication needs, or response format details.

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 that front-loads the core purpose and includes relevant scope details ('including structures and collections'). There's no wasted language, and every element serves to clarify the tool's function.

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

Completeness4/5

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

For a simple read operation with one parameter and good annotations, the description is reasonably complete. It specifies what information is returned, which compensates for the lack of an output schema. However, it could be more complete by mentioning the response format or any limitations, though annotations cover the safety profile adequately.

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%, with the single parameter 'spaceId' fully documented as 'The UUID of the space to get information for'. The description doesn't add any additional parameter semantics beyond what the schema provides, so it meets the baseline for high schema coverage without compensating with extra details.

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 action ('Get detailed information') and resource ('a specific Capacities space'), including scope ('including structures and collections'). It distinguishes from 'capacities_list_spaces' by focusing on a single space rather than listing multiple spaces, but doesn't explicitly differentiate from other siblings like 'capacities_search'.

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

Usage Guidelines3/5

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

The description implies usage context through 'a specific Capacities space' and the required spaceId parameter, suggesting this tool is for retrieving details about a known space. However, it doesn't provide explicit guidance on when to use this versus alternatives like 'capacities_search' or mention any prerequisites beyond having a space ID.

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

capacities_list_spacesB
Read-only

Get a list of all personal spaces in Capacities

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true and openWorldHint=true, indicating this is a safe read operation that may return incomplete data. The description adds minimal behavioral context beyond this—it specifies 'all personal spaces' but doesn't mention pagination, rate limits, or what 'personal spaces' entails. With annotations covering safety, a 3 is appropriate as the description adds some value but not rich behavioral details.

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, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to scan. Every part of the sentence earns its place by conveying essential information.

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 simplicity (0 parameters, read-only operation), the description is adequate but has gaps. Annotations cover safety, but there's no output schema, so the description doesn't explain return values (e.g., format of the list). For a list operation, more context on output structure would be helpful, but the description meets minimum viability.

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

Parameters4/5

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

The tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description correctly doesn't mention any parameters, which is appropriate. Baseline for 0 parameters is 4, as no parameter semantics are needed.

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 action ('Get a list') and resource ('all personal spaces in Capacities'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'capacities_get_space_info' (which presumably gets details for a specific space), but the scope is clear. The description avoids tautology by not just repeating the tool name.

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. It doesn't mention sibling tools like 'capacities_search' (which might search within spaces) or 'capacities_get_space_info' (which gets details for a specific space), nor does it specify any prerequisites or contexts for use. The agent must infer usage from the description alone.

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

capacities_save_to_daily_noteB

Add markdown text to today's daily note in a Capacities space

ParametersJSON Schema
NameRequiredDescriptionDefault
mdTextYesThe markdown text to add to today's daily note
noTimestampNoIf true, no time stamp will be added to the note
originNoOptional origin label for the content (only 'commandPalette' is supported)
spaceIdYesThe UUID of the space to save to the daily note

TDQS

B3.3/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false (implying a write operation) and openWorldHint=true (suggesting flexible use), which the description aligns with by describing an 'Add' action. However, it doesn't add significant behavioral context beyond annotations, such as whether the text is appended or overwritten, or any rate limits or permissions needed.

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 that front-loads the core action and resource without unnecessary details. It's appropriately sized for the tool's complexity, with zero waste or redundancy.

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 (4 parameters, no output schema) and rich annotations, the description is minimally adequate. It covers the basic purpose but lacks details on usage context, behavioral nuances, or output expectations, leaving gaps that could hinder an AI agent's effective use.

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?

With 100% schema description coverage, the input schema fully documents all parameters, including mdText, noTimestamp, origin, and spaceId. The description mentions 'markdown text' and 'today's daily note', which loosely maps to mdText and implies a date context, but adds minimal semantic value beyond the schema.

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 action ('Add markdown text') and target resource ('today's daily note in a Capacities space'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like capacities_save_weblink, which might also involve saving content but to different resources.

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, such as capacities_save_weblink for saving links or capacities_search for finding notes. It lacks context on prerequisites (e.g., needing a valid spaceId) or exclusions, leaving usage unclear.

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

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TDQS

A3.8/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: get_space_info retrieves metadata about a specific space, list_spaces enumerates all spaces, save_to_daily_note adds content to a daily note, save_weblink stores web links, and search performs content searches. There is no overlap or ambiguity in their functions, making it easy for an agent to select the right tool.

Naming Consistency5/5

All tool names follow a consistent 'capacities_verb_noun' pattern, using snake_case throughout. This predictability aids in understanding and usage, with no deviations in naming conventions across the set.

Tool Count5/5

With 5 tools, the server is well-scoped for its purpose of interacting with Capacities spaces. Each tool serves a specific and necessary function, such as listing spaces, retrieving info, saving content, and searching, without being overly sparse or bloated.

Completeness4/5

The tool set covers key operations for managing Capacities spaces, including listing, retrieving info, saving notes and links, and searching. A minor gap exists in lacking update or delete operations for saved content, but agents can work around this for most workflows.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

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