Skip to main content

Colectica MCP Server

MCP server for Colectica Repository REST API with:

  • OpenAPI/Swagger discovery
  • operation invocation by OpenAPI operationId or synthesized id (METHOD_path_segments)
  • Basic Auth and Bearer Token support
  • stdio transport now, optional streamable-http transport switch

1. Install

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -e .

2. Configure

Copy .env.example to .env and set values:

  • COLECTICA_BASE_URL (your Colectica Portal URL)
  • either COLECTICA_BEARER_TOKEN or COLECTICA_USERNAME + COLECTICA_PASSWORD (or both)

Optional:

  • COLECTICA_OPENAPI_CACHE_TTL_SECONDS (default 300; set 0 to disable cache)
  • COLECTICA_RETRY_MAX_RETRIES (default 2)
  • COLECTICA_RETRY_BASE_SECONDS (default 0.5)
  • COLECTICA_RETRY_MAX_SECONDS (default 8)

3. Run MCP server

stdio (default)

colectica-mcp --transport stdio

streamable-http (optional)

colectica-mcp --transport streamable-http --mount-path /mcp

4. Architecture and hosting diagrams

4.1 Runtime request flow

flowchart LR
	U[Developer or App] --> A[AI Agent<br/>Copilot, Foundry, LangChain, LlamaIndex]
	A --> M[MCP Client Transport<br/>stdio or streamable-http]
	M --> S[Colectica MCP Server]
	S --> O[OpenAPI Discovery Cache]
	S --> C[Colectica REST API]
	C --> R[Colectica Repository Backend]

	S --> T[MCP Tools<br/>health, discovery, search, DDI, transaction]

4.2 Hosting options

flowchart TB
	subgraph Local
		L1[Desktop MCP Host]
		L2[colectica-mcp --transport stdio]
		L1 --> L2
	end

	subgraph Container
		C1[Docker or Kubernetes]
		C2[colectica-mcp --transport streamable-http]
		C1 --> C2
	end

	subgraph Azure
		Z1[Azure Functions app in hosting/app]
		Z2[Bicep infra in infra/main.bicep]
		Z1 --> Z2
	end

	L2 --> API[Colectica Portal API]
	C2 --> API
	Z1 --> API

4.3 AI-agent integration pattern

sequenceDiagram
	participant Agent as AI Agent
	participant MCP as Colectica MCP Server
	participant API as Colectica API

	Agent->>MCP: health_check()
	Agent->>MCP: list_operation_categories()
	Agent->>MCP: list_operations_by_category(category)
	Agent->>MCP: call_operation(operation_id, arguments)
	MCP->>API: Invoke endpoint with auth + retries
	API-->>MCP: JSON or XML payload
	MCP-->>Agent: Normalized MCP tool response

4.4 Host and configure for AI agents

  1. Pick transport: stdio for local desktop agent clients, streamable-http for remote/containerized clients.
  2. Configure environment variables in .env:
    • COLECTICA_BASE_URL
    • Auth values (COLECTICA_BEARER_TOKEN or COLECTICA_USERNAME + COLECTICA_PASSWORD)
    • Optional retry/cache tuning values
  3. Start the server with your chosen transport.
  4. Register this MCP endpoint in your AI agent runtime.
  5. Initialize agents with discovery-first calls: health_check, list_operations, then scoped execution calls.

5. Available MCP tools

  • health_check(auth_mode="auto")
  • list_operations(auth_mode="auto")
  • find_operations(query, auth_mode="auto", limit=50)
  • find_ddi_operations(auth_mode="auto", limit=50)
  • call_operation(operation_id, arguments, auth_mode="auto")
  • call_endpoint(method, path, arguments, auth_mode="auto")
  • operation_details(operation_id, auth_mode="auto")
  • call_operation_paginated(operation_id, arguments, auth_mode="auto", max_pages=20, items_path=None)
  • list_operation_categories(auth_mode="auto")
  • list_operations_by_category(category, auth_mode="auto", limit=200)
  • get_repository_info(auth_mode="auto")
  • get_item(arguments, auth_mode="auto")
  • search(arguments, auth_mode="auto")
  • register_item(arguments, auth_mode="auto")
  • get_item_by_urn(urn, auth_mode="auto")
  • register_item_body(body, auth_mode="auto")
  • get_ddi_fragment(agency, identifier, version=None, auth_mode="auto")
  • get_ddi_set_fragment(agency, identifier, version=None, auth_mode="auto")
  • get_item_json(agency, identifier, version=None, auth_mode="auto")
  • get_item_json_set(agency, identifier, version=None, auth_mode="auto")
  • get_item_json_set_filtered(body, auth_mode="auto")

6. Recommended usage flow

  1. health_check
  2. list_operations
  3. list_operation_categories to see API groups (Agency, Comment, Ddi, Event, Item, Permission, Query, Rating, Replication, Repository, Set, Setting, Tag, Token, Transaction, VersionNumber)
  4. list_operations_by_category to narrow to one group
  5. call_operation using operationId and arguments from your Swagger schema

For request bodies, pass arguments.body.

If you prefer to execute directly from HTTP route + verb, use call_endpoint(method, path, arguments, auth_mode).

If your OpenAPI spec does not provide operationId values, use synthesized ids in this format:

  • METHOD_<normalized_path>
  • Example: GET /api/v1/ddi/{agency}/{identifier} -> GET_api_v1_ddi_agency_identifier

Optional for non-JSON operations:

  • arguments.content_type (for example application/x-www-form-urlencoded or multipart/form-data)

Use operation_details to inspect supported parameters and request body content types before invoking. For paged endpoints, use call_operation_paginated to aggregate items across pages. The server will follow continuation tokens when available, including body tokens like nextResult for query endpoints.

7. DDI integration workflow

Use this sequence to integrate with DDI-focused Colectica endpoints:

  1. Call convenience wrappers directly: get_ddi_fragment, get_ddi_set_fragment, get_item_json, get_item_json_set.
  2. Use get_item_json_set_filtered for selective graph traversal.
  3. For advanced/non-wrapped routes, run find_ddi_operations and confirm with operation_details(operation_id).
  4. Execute custom integration calls via call_operation using typed arguments and arguments.body.
  5. For large result sets, switch to call_operation_paginated.

8. Verification commands

Run Colectica server tool unit tests locally:

python -m unittest tests/test_server_tools.py tests/test_client_pagination.py -v

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

Metadata

Release files for colectica-mcp-server 0.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for colectica-mcp-server 0.3.2
File Size Uploaded Provenance
colectica_mcp_server-0.3.2.tar.gz 115.4 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for colectica-mcp-server 0.3.2
File Interpreter ABI Platform
colectica_mcp_server-0.3.2-py3-none-any.whl Python 3 none any Details

Total release size: 170.7 kB

Release files / colectica_mcp_server-0.3.2.tar.gz

Download URL colectica_mcp_server-0.3.2.tar.gz
Size 115.4 kB
Tags Source
SHA-256 checksum
How to use checksums
3a11eede1cceb88e0e12199d5750700e888b01c45fed8fd16e79b5013a26c4b4
BLAKE2b-256 checksum
How to use checksums
de266875e9351fc3ffd8af6b12ab0fa0a800d12b6850bf8e85128f69286102b6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 25, 2026.

Transparency log

Release files / colectica_mcp_server-0.3.2-py3-none-any.whl

Download URL colectica_mcp_server-0.3.2-py3-none-any.whl
Size 55.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
529966788195015494ebb5de0c23979324cbc02f781d66b464b53f0faa5d375f
BLAKE2b-256 checksum
How to use checksums
041004585d6386dff3f77d24f61cae0d87ae74bef4fdbe4e0ad95e5ea3797a20
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 25, 2026.

Transparency log

Security for colectica-mcp-server 0.3.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for colectica_mcp_server-0.3.2.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 25, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page