Install
$ agentstack add skill-berriai-litellm-skills-update-mcp ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Update MCP Server
Update an existing MCP server registration on a live LiteLLM proxy.
Setup
LITELLM_BASE_URL — e.g. https://my-proxy.example.com
LITELLM_API_KEY — proxy admin key
Ask the user
- server_id — if they don't have it, list first:
``bash curl -s "$BASE/v1/mcp/server" -H "Authorization: Bearer $KEY" ``
- What to change — any combination of:
urlcredentials(rotate the auth token)descriptionallowed_tools(list of tool names to expose)
Run
curl -s -X PUT "$BASE/v1/mcp/server" \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{
"server_id": "",
"url": "",
"credentials": ""
}'
Only include the fields being changed.
Output
Confirm the server was updated and show the updated fields.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: BerriAI
- Source: BerriAI/litellm-skills
- License: MIT
- Homepage: https://github.com/BerriAI/litellm-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.