Arcanna MCP Server
The Arcanna MCP server allows user to interact with Arcanna's AI use cases through the Model Context Protocol (MCP).
Usage with Claude Desktop or other MCP Clients
Configuration
Add the following entry to the mcpServers section in your MCP client config file (claude_desktop_config.json for Claude
Desktop).
Use docker image (https://hub.docker.com/r/arcanna/arcanna-mcp-server) or PyPi package (https://pypi.org/project/arcanna-mcp-server/)
Building local image from this repository
Prerequisites
Configuration
- Change directory to the directory where the Dockerfile is.
- Run
docker build -t arcanna/arcanna-mcp-server . --progress=plain --no-cache - Add the configuration bellow to your claude desktop/mcp client config.
{
"mcpServers": {
"arcanna-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ARCANNA_MANAGEMENT_API_KEY",
"-e",
"ARCANNA_HOST",
"arcanna/arcanna-mcp-server"
],
"env": {
"ARCANNA_MANAGEMENT_API_KEY": "<ARCANNA_MANAGEMENT_API_KEY>",
"ARCANNA_HOST": "<YOUR_ARCANNA_HOST_HERE>"
}
}
}
}
Features
- Resource Management: Create, update and retrieve Arcanna resources (jobs, integrations)
- Python Coding: Code generation, execution and saving the code block as an Arcanna integration
- Query Arcanna events: Query events processed by Arcanna
- Job Management: Create, retrieve, start, stop, and train jobs
- Feedback System: Provide feedback on decisions to improve model accuracy
- Health Monitoring: Check server and API key status
Tools
Query Arcanna events
-
query_arcanna_events
- Used to get events processed by Arcanna, multiple filters can be provided
-
get_filter_fields
- used as a helper tool (retrieve Arcanna possible fields to apply filters on)
Resource Management
-
upsert_resources
- Create/update Arcanna resources
-
get_resources
- Retrieve Arcanna resources (jobs/integrations)
-
delete_resources
- Delete Arcanna resources
-
integration_parameters_schema
- used in this context as a helper tool
Python Coding
-
generate_code_agent
- Used to generate code
-
execute_code
- Used to execute the generated code
-
save_code
- Use to save the code block in Arcanna pipeline as an integration
Job Management
-
start_job
- Begin event ingestion for a job
-
stop_job
- Stop event ingestion for a job
-
train_job
- Train the job's AI model using the provided feedback
Feedback System
- add_feedback_to_event
- Provide feedback on AI decisions for model improvement
System Health
- health_check
- Verify server status and Management API key validity
- Returns Management API key authorization status
1 maintainer
Metadata
1 maintainer
Release files for arcanna-mcp-server 0.1.38
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| arcanna_mcp_server-0.1.38.tar.gz | 59.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arcanna_mcp_server-0.1.38-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 106.9 kB
Release files / arcanna_mcp_server-0.1.38.tar.gz
| Download URL | arcanna_mcp_server-0.1.38.tar.gz |
|---|---|
| Size | 59.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b2a155d70de3ffaacf141d8dea636cc0e6218ac16c40edac293788dfd8dc3bee
|
|
BLAKE2b-256 checksum How to use checksums |
97d2343a837fed7ab698b56bd76f89dff1fc6ee6272d0d99cf4238773c2a5a29
|
| 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 Jun 30, 2026.
Transparency logRelease files / arcanna_mcp_server-0.1.38-py3-none-any.whl
| Download URL | arcanna_mcp_server-0.1.38-py3-none-any.whl |
|---|---|
| Size | 47.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c8764b234d2300c259fdddf7f8187a4e30cc405d4114bddbf42e90e658e9774d
|
|
BLAKE2b-256 checksum How to use checksums |
a056be5e7d0c85b840e992f5e4f07cfe148e21cdf01a68d098bd64f942352bf8
|
| 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 Jun 30, 2026.
Transparency logSecurity for arcanna-mcp-server 0.1.38
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.
Attestation for arcanna_mcp_server-0.1.38.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 Jun 30, 2026.
Transparency logA 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.
