v0.0.11

Small qol updates

Changes

• Update instructor version to 1.7.7 to fix instructor-ai/instructor#1412
• Fix structure and code block issue in README @skyduy (#71)
• readme: fix swarm agent example @sayanarijit (#70)
• Minor updates to examples

v0.0.10

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.

v0.0.9

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)

v0.0.8

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 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.

v0.0.7

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.