Search / io.github.yarnabrina/mcp-learning
Learning Model Context Protocol
L0· runs locallyBasic arithmetic tools with natural-language expression parsing and evaluation.
v0.3.0 · active · repository · website · descriptor JSON · versions
Search / io.github.yarnabrina/mcp-learning
L0· runs locallyBasic arithmetic tools with natural-language expression parsing and evaluation.
v0.3.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"mcp-learning": {
"command": "uvx",
"args": [
"--from",
"mcp-learning",
"mcp-server",
"mcp-learning==0.3.0",
"--host",
"127.0.0.1",
"--port",
"8000",
"--streamable_http_path",
"/mcp"
],
"env": {
"DEBUG": "false",
"RUNTIME_ENVIRONMENT": "local",
"LOG_LEVEL": "INFO",
"JSON_RESPONSE": "false",
"STATELESS_HTTP": "false"
}
}
}
}claude mcp add mcp-learning -e "DEBUG=false" -e "RUNTIME_ENVIRONMENT=local" -e "LOG_LEVEL=INFO" -e "JSON_RESPONSE=false" -e "STATELESS_HTTP=false" -- uvx --from mcp-learning mcp-server mcp-learning==0.3.0 --host 127.0.0.1 --port 8000 --streamable_http_path /mcp[mcp_servers.mcp-learning]
command = "uvx"
args = ["--from", "mcp-learning", "mcp-server", "mcp-learning==0.3.0", "--host", "127.0.0.1", "--port", "8000", "--streamable_http_path", "/mcp"]
env = { "DEBUG" = "false", "RUNTIME_ENVIRONMENT" = "local", "LOG_LEVEL" = "INFO", "JSON_RESPONSE" = "false", "STATELESS_HTTP" = "false" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mcp-learning": {
"type": "local",
"command": [
"uvx",
"--from",
"mcp-learning",
"mcp-server",
"mcp-learning==0.3.0",
"--host",
"127.0.0.1",
"--port",
"8000",
"--streamable_http_path",
"/mcp"
],
"enabled": true,
"environment": {
"DEBUG": "false",
"RUNTIME_ENVIRONMENT": "local",
"LOG_LEVEL": "INFO",
"JSON_RESPONSE": "false",
"STATELESS_HTTP": "false"
}
}
}
}{
"mcpServers": {
"mcp-learning": {
"command": "uvx",
"args": [
"--from",
"mcp-learning",
"mcp-server",
"mcp-learning==0.3.0",
"--host",
"127.0.0.1",
"--port",
"8000",
"--streamable_http_path",
"/mcp"
],
"env": {
"DEBUG": "false",
"RUNTIME_ENVIRONMENT": "local",
"LOG_LEVEL": "INFO",
"JSON_RESPONSE": "false",
"STATELESS_HTTP": "false"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-learning&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJtY3AtbGVhcm5pbmciLCJtY3Atc2VydmVyIiwibWNwLWxlYXJuaW5nPT0wLjMuMCIsIi0taG9zdCIsIjEyNy4wLjAuMSIsIi0tcG9ydCIsIjgwMDAiLCItLXN0cmVhbWFibGVfaHR0cF9wYXRoIiwiL21jcCJdLCJlbnYiOnsiREVCVUciOiJmYWxzZSIsIlJVTlRJTUVfRU5WSVJPTk1FTlQiOiJsb2NhbCIsIkxPR19MRVZFTCI6IklORk8iLCJKU09OX1JFU1BPTlNFIjoiZmFsc2UiLCJTVEFURUxFU1NfSFRUUCI6ImZhbHNlIn19"
}{
"servers": {
"mcp-learning": {
"type": "stdio",
"command": "uvx",
"args": [
"--from",
"mcp-learning",
"mcp-server",
"mcp-learning==0.3.0",
"--host",
"127.0.0.1",
"--port",
"8000",
"--streamable_http_path",
"/mcp"
],
"env": {
"DEBUG": "false",
"RUNTIME_ENVIRONMENT": "local",
"LOG_LEVEL": "INFO",
"JSON_RESPONSE": "false",
"STATELESS_HTTP": "false"
}
}
}
}{
"mcpServers": {
"mcp-learning": {
"command": "uvx",
"args": [
"--from",
"mcp-learning",
"mcp-server",
"mcp-learning==0.3.0",
"--host",
"127.0.0.1",
"--port",
"8000",
"--streamable_http_path",
"/mcp"
],
"env": {
"DEBUG": "false",
"RUNTIME_ENVIRONMENT": "local",
"LOG_LEVEL": "INFO",
"JSON_RESPONSE": "false",
"STATELESS_HTTP": "false"
}
}
}
}extensions:
"mcp-learning":
enabled: true
name: "mcp-learning"
type: stdio
cmd: "uvx"
args:
- "--from"
- "mcp-learning"
- "mcp-server"
- "mcp-learning==0.3.0"
- "--host"
- "127.0.0.1"
- "--port"
- "8000"
- "--streamable_http_path"
- "/mcp"
envs:
"DEBUG": "false"
"RUNTIME_ENVIRONMENT": "local"
"LOG_LEVEL": "INFO"
"JSON_RESPONSE": "false"
"STATELESS_HTTP": "false"
timeout: 300
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 73 resolved packagesdeps.mcp_sdk_versionmcp 2.3.0, no known advisorydeps.resolvable[email protected] resolved: 73 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-2d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI72 dependencies, resolved · MCP SDK mcp 2.3.0 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
mcp-learning | pypi | 0.3.0 | uvx |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.yarnabrina/mcp-learning",
"title": "Learning Model Context Protocol",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.0",
"packages": [
{
"version": "0.3.0",
"transport": {
"url": "http://127.0.0.1:8000/mcp",
"type": "streamable-http"
},
"identifier": "mcp-learning",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"name": "--host",
"type": "named",
"format": "string",
"default": "127.0.0.1",
"description": "Local bind address for the Streamable HTTP server."
},
{
"name": "--port",
"type": "named",
"format": "number",
"default": "8000",
"description": "Local port for the Streamable HTTP server."
},
{
"name": "--streamable_http_path",
"type": "named",
"format": "string",
"default": "/mcp",
"description": "Endpoint path for the Streamable HTTP server."
}
],
"runtimeArguments": [
{
"name": "--from",
"type": "named",
"value": "mcp-learning",
"format": "string",
"isRequired": true,
"description": "Resolve console scripts from the published PyPI package."
},
{
"type": "positional",
"value": "mcp-server",
"format": "string",
"valueHint": "command",
"isRequired": true,
"description": "Invoke the entry point console script that starts the MCP server."
}
],
"environmentVariables": [
{
"name": "DEBUG",
"format": "boolean",
"default": "false",
"description": "Enable additional debug logging output."
},
{
"name": "RUNTIME_ENVIRONMENT",
"format": "string",
"choices": [
"local",
"production"
],
"default": "local",
"description": "Logging/runtime environment."
},
{
"name": "LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"INFO",
"WARNING",
"ERROR",
"CRITICAL"
],
"default": "INFO",
"description": "Log level for server output; the server defaults to INFO."
},
{
"name": "LOG_FILE",
"format": "filepath",
"description": "Optional path for a server log file."
},
{
"name": "JSON_RESPONSE",
"format": "boolean",
"default": "false",
"description": "Return JSON payloads for HTTP responses instead of newline-delimited JSON."
},
{
"name": "STATELESS_HTTP",
"format": "boolean",
"default": "false",
"description": "Disable HTTP keep-alive to serve each request independently."
}
]
}
],
"repository": {
"id": "1026553889",
"url": "https://github.com/yarnabrina/learn-model-context-protocol",
"source": "github"
},
"websiteUrl": "https://yarnabrina.github.io/learn-model-context-protocol/",
"description": "Basic arithmetic tools with natural-language expression parsing and evaluation."
}