Mcp-agent

Small qol updates

Changes
- Update instructor version to 1.7.7 to fix https://github.com/instructor-ai/instructor/issues/1412
- Fix structure and code block issue in README skyduy (71)
- readme: fix swarm agent example sayanarijit (70)
- Minor updates to examples

Changes
- Improve server name parsing in tool calls Henry-Jessie (65)
- Add session_id to MCPApp, and propagate it through the system corroleaus (63)

Thank you to the community for continuing to help build this project! There's a major version update coming next.

QoL updates over various examples, bug fixes, and a feature by MattMorgis to allow multiple loggers to be configured simultaneously.
Thank you to all the excellent contributions from the community!

Changes
- fix example streamlit_mcp_rag_agent with last mcp-server-qdrant venticello (59)
- Relax numpy dependency constrain, now requiring numpy>=2.1.3 Nicba1010 (52)
- Logging Update MattMorgis (49)
- Multi transport logging MattMorgis (42)
- Fix bug arising from instantiation of CallToolResult class meerkat-citronella (48)

Dedicating this release to evalstate, who drove some incredible updates to the core framework, as well as some phenomenal examples, singlehandedly. Thank you! Details below:

Changes
- Add MCP roots support to mcp-agent evalstate (18). See [mcp_root_test](https://github.com/lastmile-ai/mcp-agent/tree/main/examples/mcp_root_test) example for more details.
- Addition of ProgressLogger which captures the log event stream to convert log events to progress info evalstate (18).
- Intermediate progress reporting for visibility into agent/tool progress evalstate (18)
- Get Anthropic default model from config if available MattMorgis (39)
- Store context globally on init andersenthomas98 (37)
- fix finder_agent.py readme example roterski (28)
- Progress Reporting Feature evalstate (18)

Thank you to all the wonderful community contributors for making this release possible.

Changes
- Ensure base_url is always used for OpenAI clients mcolyer (26)
- Fix duplicate tool call messages when using OpenAIAugmentedLLM StreetLamb (22)
- Support models compatible with OpenAI format StreetLamb (21)
- Add MCP agent server example StreetLamb (7)
- Fix NameError in streamlit_mcp_rag_agent example StreetLamb (9)
- Add Streamlit MCP RAG Agent example StreetLamb (4)
- example: Update marimo notebook README akshayka (6)
- example: add marimo notebook (basic mcp agent) akshayka (5)
- Add Streamlit MCP Agent example with configuration and requirements StreetLamb (3)
- Fix/secrets tracking evalstate (2)
- First commit: Create initial scaffolding for mcp-agent saqadri (1)

Thank you to all the wonderful community contributors for making this release possible.