Codex CLI 0.142.0+ drops the RFC 9207 `iss` parameter from the OAuth callback (openai/codex issue 31573), so `codex mcp login` fails with "Authorization server response missing required issuer" against spec-compliant servers, including the hosted Logfire MCP. Document the failure mode and workarounds. Claude-Session: https://claude.ai/code/session_014iPT6z2qtARBxoKCPgw4wc
Pydantic Skills
Logfire and Pydantic AI plugins for Claude Code, Codex, and Cursor. Instrument your code with Logfire, query and export the resulting telemetry, and build LLM agents with Pydantic AI.
Plugins
| Plugin | Hosts | Description | Capabilities |
|---|---|---|---|
| logfire | Claude Code, Codex, Cursor | Add Logfire observability and query/debug telemetry | Claude commands /instrument, /debug, /query; Codex/Cursor skills and MCP tools |
| logfire-exporter | Codex | Export Codex activity traces to Logfire | Codex lifecycle hooks |
| ai | Claude Code | Build AI agents with Pydantic AI | Pydantic AI skill docs |
| pydantic-ai-harness | Claude Code | Extend Pydantic AI agents with harness capabilities (Code Mode) | Pydantic AI Harness skill docs |
Install In Claude Code
Add this marketplace to Claude Code:
claude plugin marketplace add pydantic/skills
Then install a plugin:
claude plugin install logfire@pydantic-skills
claude plugin install ai@pydantic-skills
claude plugin install pydantic-ai-harness@pydantic-skills
Install In Codex
Add the published Pydantic marketplace to Codex:
codex plugin marketplace add pydantic/skills
Then open Codex's plugin UI and enable the plugins you want from the Pydantic marketplace:
- Logfire - installs Logfire skills and the hosted Logfire MCP server.
- Logfire Exporter - installs Codex lifecycle hooks that export completed Codex turns and tool calls to Logfire.
Configure Logfire Exporter with a Logfire write token in your environment or
${XDG_CONFIG_HOME:-~/.config}/logfire-exporter/config.env. Restart Codex after configuration, and run /hooks if
Codex asks you to review or trust the new hooks.
To use the EU Logfire MCP endpoint in Codex without editing plugin files, replace the MCP entry and re-authenticate:
codex mcp remove logfire
codex mcp add logfire --url https://logfire-eu.pydantic.dev/mcp
codex mcp login logfire
codex mcp get logfire
Start a new Codex conversation after switching so the MCP tools reload.
Troubleshooting Codex OAuth
Codex CLI 0.142.0 through at least 0.144.3 has an OAuth regression
(openai/codex#31573): it drops the RFC 9207 iss
parameter from the authorization callback, so codex mcp login can fail with
Authorization server response missing required issuer even after the browser shows
"Authentication complete". A server-side workaround is being rolled out to the hosted Logfire MCP
servers (mid-July 2026). If you still hit this error (for example against a self-hosted Logfire
instance that hasn't updated yet), either:
- downgrade Codex:
npm install -g @openai/codex@0.141.0, or - wait for a Codex release that fixes the issue, then retry
codex mcp login logfire.
Install In Cursor
Install the Logfire plugin from the published pydantic/skills repository:
git clone https://github.com/pydantic/skills.git
mkdir -p ~/.cursor/plugins/local
cp -R skills/plugins/logfire ~/.cursor/plugins/local/logfire
Then restart Cursor or run Developer: Reload Window. The plugin configures:
- display name Logfire
- Logfire skills for instrumentation, querying, and UI-opening workflows
- hosted Logfire MCP server from
mcp.json
The Logfire MCP server requires normal Logfire authentication, such as logfire auth or a suitable LOGFIRE_TOKEN.
Cross-Agent Skills
The skills/ directory contains standalone SKILL.md files compatible with 30+ agents via the agentskills.io standard - including Codex, Cursor, Gemini CLI, and Claude Code.
| Skill | Description |
|---|---|
| logfire-instrumentation | Add Logfire observability to Python, JS/TS, and Rust apps |
| logfire-query | Query and analyze Logfire traces, logs, spans, metrics, and activity data |
| logfire-ui | Open Logfire project pages, live views, traces, and Explore filters |
| building-pydantic-ai-agents | Build LLM-powered agents with Pydantic AI — tools, capabilities, streaming, testing |
| pydantic-ai-harness | Extend Pydantic AI agents with harness capabilities like Code Mode (sandboxed run_code) |