MCP Servers
mumez/pharo-smalltalk-interop-mcp-server
A local MCP server to communicate local Pharo Smalltalk image
Our verdict
We have not reviewed mumez/pharo-smalltalk-interop-mcp-server yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About mumez/pharo-smalltalk-interop-mcp-server
A local MCP server that enables communication with a Pharo Smalltalk image. It uses Python to bridge the Model Context Protocol, allowing external tools to interact with the Smalltalk environment.
Best for
Developers working with Pharo Smalltalk who want to connect it to MCP-based tools or AI assistants
Use cases
- Connecting AI assistants to a live Pharo Smalltalk image for code analysis
- Automating Smalltalk image operations from external scripts or tools
- Integrating Pharo Smalltalk into MCP-compatible development workflows
Notes
10 stars on GitHub. Last updated 2025-12-19. Licensed MIT.
Pros
- Enables modern tooling integration with legacy Smalltalk environments
- Lightweight Python implementation with a focused scope
- Open source with a permissive license for customization
Cons
- Very early stage with only 10 stars and limited community adoption
- Requires running a local server and managing Smalltalk image connectivity
- Narrow use case limited to Pharo Smalltalk developers
Key facts
What we have checked
- Days since the last commit
- 79
- GitHub forks
- 10
- GitHub stars
- 12
- Open issues
- 2
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
uvx --from git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git pharo-smalltalk-interop-mcp-serverTools exposed
evalget_class_sourceget_method_sourceget_class_commentsearch_classes_likesearch_methods_likesearch_traits_likesearch_implementorssearch_referencessearch_references_to_classlist_packageslist_classeslist_extended_classeslist_methodsexport_packageimport_packageinstall_projectrun_package_testrun_class_testread_screen
Clients the listing names (not checked here)
Cursor, Claude Code
Example client config
{
"mcpServers": {
"smalltalk-interop": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git",
"pharo-smalltalk-interop-mcp-server"
],
"env": {
"PHARO_SIS_PORT": "8086"
}
}
}
}Install
Add mumez/pharo-smalltalk-interop-mcp-server to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What mumez/pharo-smalltalk-interop-mcp-server connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Health and security
Is mumez/pharo-smalltalk-interop-mcp-server looked after, and what do its setup files show
Health score
0 out of 100
| Part | Points | What we saw |
|---|---|---|
| Archived | 0 | Repository is archived |
Security check static checks
100 out of 100
- Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
- Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.
Tool permissions (1)
PHARO_SIS_PORT, environment variable it asks for
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Shut down
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.