Tag: ai-tools
Page 4 of 4 • 41 posts total
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MCP servers: Versioning MCP servers like APIs, a first-year habit
A field-tested take on versioning MCP servers like APIs, a first-year habit with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: First sandboxing policy we wished we had started with
A field-tested take on the first sandboxing policy we wished we had started with with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Why we promoted an internal wiki to an MCP resource
A field-tested take on why we promoted an internal wiki to an MCP resource with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Composing agents over a tiny catalogue of shared tools
A field-tested take on composing agents over a tiny catalogue of shared tools with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: First auth model we picked, and later regretted
A field-tested take on the first auth model we picked, and later regretted with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Early protocol tour, done with a plain JSON-RPC client
A field-tested take on an early protocol tour, done with a plain JSON-RPC client with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Exposing read-only resources before we dared expose actions
A field-tested take on exposing read-only resources before we dared expose actions with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: First MCP server that earned its keep
A field-tested take on the first MCP server that earned its keep with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.