chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:22:28 +08:00
commit c56bef871b
9296 changed files with 1854228 additions and 0 deletions
+72
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// Files under `api/` become HTTP endpoints automatically — this is `/api/mcp`.
import { VercelRequest, VercelResponse } from "@vercel/node";
export default async function handler(req: VercelRequest, res: VercelResponse) {
res.setHeader("Access-Control-Allow-Origin", "*");
res.setHeader("Access-Control-Allow-Methods", "POST, OPTIONS");
res.setHeader(
"Access-Control-Allow-Headers",
"Content-Type, Accept, Mcp-Session-Id, Mcp-Protocol-Version"
);
res.setHeader("Access-Control-Expose-Headers", "Mcp-Session-Id");
if (req.method === "OPTIONS") {
return res.status(204).end();
}
if (req.method !== "POST") {
res.setHeader("Allow", "POST, OPTIONS");
return res.status(405).end("Method Not Allowed");
}
// Get environment variables
const { MCP_WORKSPACE_ID, SEARCH_API_TOKEN } = process.env;
if (!MCP_WORKSPACE_ID || !SEARCH_API_TOKEN) {
return res.status(500).json({ error: "MCP service is not configured." });
}
try {
// Forward the JSON-RPC body unchanged with the API key injected, so we
// don't need to know any MCP methods — new upstream tools just work.
const apiResponse = await fetch(
`https://api.cloud.deepset.ai/api/v2/workspaces/${MCP_WORKSPACE_ID}/mcp`,
{
method: "POST",
headers: {
"Content-Type": "application/json",
Accept:
(req.headers.accept as string) ||
"application/json, text/event-stream",
"X-Client-Source": "haystack-docs",
Authorization: `Bearer ${SEARCH_API_TOKEN}`,
// Forward MCP session id so upstream can correlate requests.
...(req.headers["mcp-session-id"] && {
"Mcp-Session-Id": req.headers["mcp-session-id"] as string,
}),
// Forward the protocol version the client negotiated.
...(req.headers["mcp-protocol-version"] && {
"Mcp-Protocol-Version": req.headers[
"mcp-protocol-version"
] as string,
}),
},
body: JSON.stringify(req.body),
}
);
// Pass the response through as-is (status, content-type, raw body).
const text = await apiResponse.text();
res.status(apiResponse.status);
const contentType = apiResponse.headers.get("content-type");
if (contentType) res.setHeader("Content-Type", contentType);
// Surface the session id back to the client (browsers can read it because
// it's in Access-Control-Expose-Headers above).
const sessionId = apiResponse.headers.get("mcp-session-id");
if (sessionId) res.setHeader("Mcp-Session-Id", sessionId);
return res.send(text);
} catch (error) {
console.error("MCP proxy error:", error);
return res.status(502).json({ error: "Failed to reach MCP upstream." });
}
}
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import { VercelRequest, VercelResponse } from "@vercel/node";
export default async function handler(req: VercelRequest, res: VercelResponse) {
if (req.method !== "POST") {
res.setHeader("Allow", "POST");
return res.status(405).end("Method Not Allowed");
}
const { query, filter } = req.body;
if (!query) {
return res.status(400).json({ error: "Query is required" });
}
const { SEARCH_API_WORKSPACE, SEARCH_API_PIPELINE, SEARCH_API_TOKEN } =
process.env;
if (!SEARCH_API_WORKSPACE || !SEARCH_API_PIPELINE || !SEARCH_API_TOKEN) {
console.error(
"Search API environment variables are not configured on the server."
);
return res.status(500).json({ error: "Search service is not configured." });
}
try {
// Build the request body with optional filters
const requestBody: any = {
queries: [query],
};
// Add filters if provided (for future backend filtering support)
if (filter && filter !== "all") {
requestBody.debug = true;
requestBody.filters = {
operator: "AND",
conditions: [
{
field: "meta.type",
operator: "==",
value: filter,
},
],
};
}
const apiResponse = await fetch(
`https://api.cloud.deepset.ai/api/v1/workspaces/${SEARCH_API_WORKSPACE}/pipelines/${SEARCH_API_PIPELINE}/search`,
{
method: "POST",
headers: {
"Content-Type": "application/json",
"X-Client-Source": "haystack-docs",
Authorization: `Bearer ${SEARCH_API_TOKEN}`,
},
body: JSON.stringify(requestBody),
}
);
if (!apiResponse.ok) {
const errorData = await apiResponse.text();
console.error("Haystack API error:", errorData);
return res
.status(apiResponse.status)
.json({ error: `API error: ${apiResponse.statusText}` });
}
const data = await apiResponse.json();
return res.status(200).json(data);
} catch (error) {
console.error("Internal server error:", error);
return res.status(500).json({ error: "Failed to fetch search results." });
}
}
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{
"compilerOptions": {
"target": "ES2021",
"module": "commonjs",
"moduleResolution": "node",
"lib": ["ES2021", "DOM"],
"esModuleInterop": true,
"strict": true,
"skipLibCheck": true,
"resolveJsonModule": true,
"types": ["node"]
},
"include": ["./**/*.ts"]
}
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// Returns a JSON 404 for OAuth discovery probes (e.g.
// `/.well-known/oauth-protected-resource`, `/.well-known/oauth-authorization-server`).
// Per RFC 9728 / the MCP authorization spec a 404 here means "this resource
// doesn't require OAuth — connect anonymously." Without this handler the
// Docusaurus catch-all serves an HTML 404, which trips MCP clients that try to
// JSON-parse the body to extract an OAuth error.
import { VercelRequest, VercelResponse } from "@vercel/node";
export default function handler(_req: VercelRequest, res: VercelResponse) {
res.setHeader("Content-Type", "application/json");
res.setHeader("Cache-Control", "public, max-age=3600");
return res.status(404).end("{}");
}