Bump pyproject.toml version, and upgrade mcp dependency to >= 1.13.1

Author: saqadri

examples/mcp_agent_server/asyncio/main.py

@@ -28,7 +28,7 @@
 
 # Note: This is purely optional:
 # if not provided, a default FastMCP server will be created by MCPApp using create_mcp_server_for_app()
-mcp = FastMCP(name="basic_agent_server")
+mcp = FastMCP(name="basic_agent_server", instructions="My basic agent server example.")
 
 # Define the MCPApp instance. The server created for this app will advertise the
 # MCP logging capability and forward structured logs upstream to connected clients.
@@ -249,6 +249,7 @@ async def grade_story_async(story: str, app_ctx: Optional[AppContext] = None) ->
 
     return result
 
+
 # Add custom tool to get token usage for a workflow
 @mcp.tool(
     name="get_token_usage",
@@ -362,6 +363,7 @@ def collect_model_usage(node: TokenNode):
 
     return result
 
+
 async def main():
     parser = argparse.ArgumentParser()
     parser.add_argument(

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mcp-agent"
-version = "0.1.18"
+version = "0.1.19"
 description = "Build effective agents with Model Context Protocol (MCP) using simple, composable patterns."
 readme = "README.md"
 license = { file = "LICENSE" }
@@ -17,7 +17,7 @@ dependencies = [
     "aiohttp>=3.11.13",
     "fastapi>=0.115.6",
     "jsonref>=1.1.0",
-    "mcp>=1.10.1",
+    "mcp>=1.13.1",
     "numpy>=2.1.3",
     "opentelemetry-distro>=0.50b0",
     "opentelemetry-exporter-otlp-proto-http>=1.29.0",

src/mcp_agent/app.py

@@ -88,9 +88,11 @@ def __init__(
             upstream_session: Upstream session if the MCPApp is running as a server to an MCP client.
             initialize_model_selector: Initializes the built-in ModelSelector to help with model selection. Defaults to False.
         """
-        self.name = name
-        self.description = description or "MCP Agent Application"
         self.mcp = mcp
+        self.name = name or (mcp.name if mcp else None)
+        self.description = description or (
+            mcp.instructions if mcp else "MCP Agent Application"
+        )
 
         # We use these to initialize the context in initialize()
         if settings is None:

src/mcp_agent/data/examples/basic/agent_factory/agents.yaml

@@ -6,3 +6,4 @@ agents:
   - name: coder
     instruction: You can inspect and modify code files in the repository
     server_names: [filesystem]
+

src/mcp_agent/data/examples/basic/mcp_basic_agent/mcp_agent.config.yaml

@@ -25,3 +25,4 @@ openai:
   default_model: "gpt-4o-mini"
 anthropic:
   default_model: claude-3-5-sonnet-latest
+

src/mcp_agent/data/examples/basic/mcp_basic_agent/mcp_agent.secrets.yaml.example

@@ -29,3 +29,4 @@ anthropic:
 #   # aws_session_token: "..."
 #   # profile: "default"
 
+

src/mcp_agent/data/examples/basic/token_counter/mcp_agent.config.yaml

@@ -24,3 +24,4 @@ openai:
   default_model: "gpt-4o-mini"
 anthropic:
   default_model: claude-3-5-sonnet-latest
+

src/mcp_agent/data/examples/basic/token_counter/mcp_agent.secrets.yaml.example

@@ -14,3 +14,4 @@ bedrock:
   aws_secret_access_key: "..."
   aws_region: "us-east-1"
 
+

src/mcp_agent/server/app_server.py

@@ -632,7 +632,7 @@ async def _internal_human_prompts(request: Request):
             # TODO: saqadri (MAC) - create a much more detailed description
             # based on all the available agents and workflows,
             # or use the MCPApp's description if available.
-            instructions=f"MCP server exposing {app.name} workflows and agents. Description: {app.description}",
+            instructions=f"MCP server exposing {app.name} workflows and agents as tools. Description: {app.description}",
             lifespan=app_specific_lifespan,
             **kwargs,
         )